Ming-Chun Huang

Journal Article Smart Health · June 1, 2024 Speech recognition using EEG signals captured during covert (imagined) speech has garnered substantial interest in Brain–Computer Interface (BCI) research. While the concept holds promise, current implementations must improve performance compared to establ ... Full text Cite

Wavoice: An mmWave-Assisted Noise-Resistant Speech Recognition System

Journal Article ACM Transactions on Sensor Networks · May 11, 2024 As automatic speech recognition evolves, deployment of the voice user interface (VUI) has boomingly expanded. Especially since the COVID-19 pandemic, the VUI has gained more attention in online communication owing to its non-contact property. However, the ... Full text Cite

Development and evaluation of visualizations of smoking data for integration into the Sense2Quit app for tobacco cessation.

Journal Article Journal of the American Medical Informatics Association : JAMIA · January 2024 ImportanceDue to insufficient smoking cessation apps for persons living with HIV, our study focused on designing and testing the Sense2Quit app, a patient-facing mHealth tool which integrated visualizations of patient information, specifically smo ... Full text Cite

WavoID: Robust and Secure Multi-modal User Identification via mmWave-voice Mechanism

Conference UIST 2023 - Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology · October 29, 2023 With the increasing deployment of voice-controlled devices in homes and enterprises, there is an urgent demand for voice identification to prevent unauthorized access to sensitive information and property loss. However, due to the broadcast nature of sound ... Full text Cite

Pilot Testing of an mHealth App for Tobacco Cessation in People Living With HIV: Protocol for a Pilot Randomized Controlled Trial.

Journal Article JMIR research protocols · October 2023 BackgroundAn estimated 40% of people living with HIV smoke cigarettes. Although smoking rates in the United States have been declining in recent years, people living with HIV continue to smoke cigarettes at twice the rate of the general population ... Full text Cite

Theoretically Guided Iterative Design of the Sense2Quit App for Tobacco Cessation in Persons Living with HIV.

Journal Article International journal of environmental research and public health · February 2023 The use of mobile health (mHealth technology) can be an effective intervention when considering chronic illnesses. Qualitative research methods were used to identify specific content and features for a mobile app for smoking cessation amongst people living ... Full text Open Access Cite

NeuralGait: Assessing Brain Health Using Your Smartphone

Journal Article Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · January 11, 2023 Brain health attracts more recent attention as the population ages. Smartphone-based gait sensing and analysis can help identify the risks of brain diseases in daily life for prevention. Existing gait analysis approaches mainly hand-craft temporal gait fea ... Full text Cite

TherapyPal: Towards a Privacy-Preserving Companion Diagnostic Tool based on Digital Symptomatic Phenotyping

Conference Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM · January 1, 2023 As the demand for precision medicine rapidly grows, companion diagnostics is proposed to monitor and evaluate therapeutic effects for adjusting medicine plans in time. Although a set of clinical companion diagnostics tools (e.g., polymerase chain reaction) ... Full text Cite

An explainable COVID-19 detection system based on human sounds.

Journal Article Smart health (Amsterdam, Netherlands) · December 2022 Acoustic signals generated by the human body have often been used as biomarkers to diagnose and monitor diseases. As the pathogenesis of COVID-19 indicates impairments in the respiratory system, digital acoustic biomarkers of COVID-19 are under investigati ... Full text Open Access Cite

Closed-looped sensing and stimulation system for Parkinson's disease early diagnosis and rehabilitation

Journal Article Smart Health · December 1, 2022 Parkinson's disease (PD) patients are involved in motor dysfunctions and gait issues. The absence of long-term reliable gait rehabilitations could result in poor gait function, gait deficits, and locomotion problems. Meanwhile, PD patients usually face sig ... Full text Cite

MmEve: Eavesdropping on Smartphone s Earpiece via COTS mmWave Device

Conference Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM · October 14, 2022 Earpiece mode of smartphones is often used for confidential communication. In this paper, we proposed a remote(>2m) and motion-resilient attack on smartphone earpiece. We developed an end-To-end eavesdropping system mmEve based on a commercial mmWave senso ... Full text Cite

A fitness training optimization system based on heart rate prediction under different activities.

Journal Article Methods (San Diego, Calif.) · September 2022 Heart rate can be considered as an indicator of the exercise intensity in people's daily physical activities. Five heart rate zone theory is commonly adopted by individuals and professional athletes during their exercises and training. These heart rate zon ... Full text Cite

MHealth Technologies Toward Active Health Information Collection and Tracking in Daily Life: A Dynamic Gait Monitoring Example

Journal Article IEEE Internet of Things Journal · August 15, 2022 Monitoring the changes in gait patterns is important to individuals' health. Gait analysis should be taken as early as possible to prevent gait impairments and improve gait quality. Accurate stride-length estimation and gait rehabilitation activity recogni ... Full text Cite

A Smoking Cessation Mobile App for Persons Living With HIV: Preliminary Efficacy and Feasibility Study.

Journal Article JMIR formative research · August 2022 BackgroundThe prevalence of smoking in the United States general population has gradually declined to the lowest rate ever recorded; however, this has not been true for persons with HIV.ObjectiveWe conducted a pilot test to assess the fea ... Full text Open Access Cite

Transfer Learning Model Knowledge Across Multi-Sensors Locations Over Body Sensor Network

Journal Article IEEE Sensors Journal · June 1, 2022 With the growth of sensing technologies, the sensors are applied to diversified fields including health care, elderly protection, human activity abnormal detection, and surveillance. The advanced sensors embedded in mobile devices generate a large amount o ... Full text Cite

Smoking Cessation System for Preemptive Smoking Detection.

Journal Article IEEE internet of things journal · March 2022 Smoking cessation is a significant challenge for many people addicted to cigarettes and tobacco. Mobile health-related research into smoking cessation is primarily focused on mobile phone data collection either using self-reporting or sensor monitoring tec ... Full text Open Access Cite

Privacy computing using deep compression learning techniques for neural decoding

Journal Article Smart Health · March 1, 2022 The brain–computer interface supports a variety of applications with the help of machine learning technology. However, existing edge-cloud infrastructure requires subjects to send their sensitive neural signals to the cloud for training the model which bri ... Full text Cite

A progressive prediction model towards home-based stroke rehabilitation programs

Journal Article Smart Health · March 1, 2022 More than 795,000 people suffer from stroke each year in the United States. Rehabilitation is crucial to help restore mobility function in activities of daily life. Many research works manifest that effective prediction of rehabilitation outcomes can signi ... Full text Cite

Optimal pressure sensor locations in smart insoles for heel-strike and toe-off detection

Conference BioCAS 2022 - IEEE Biomedical Circuits and Systems Conference: Intelligent Biomedical Systems for a Better Future, Proceedings · January 1, 2022 Heel-strike and toe-off are important gait events for gait analysis. Smart insoles with pressure sensors in different locations have been proposed to detect these two gait events. However, there is no research to reveal optimal sensor locations under the f ... Full text Cite

Shoupa: An AI System for Early Diagnosis of Parkinson's Disease

Conference Proceedings - 2022 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022 · January 1, 2022 Parkinson's Disease (PD) is a progressive nervous system dis-order that has affected more than 5.8 million people, especially the elderly. Due to the complexity of its symptoms and its similarity to other neurological disorders, early detection requires ne ... Full text Cite

Multimodal speech recognition using EEG and audio signals: A novel approach for enhancing ASR systems

Wavoice: An mmWave-Assisted Noise-Resistant Speech Recognition System

Development and evaluation of visualizations of smoking data for integration into the Sense2Quit app for tobacco cessation.

WavoID: Robust and Secure Multi-modal User Identification via mmWave-voice Mechanism

Pilot Testing of an mHealth App for Tobacco Cessation in People Living With HIV: Protocol for a Pilot Randomized Controlled Trial.

Theoretically Guided Iterative Design of the Sense2Quit App for Tobacco Cessation in Persons Living with HIV.

NeuralGait: Assessing Brain Health Using Your Smartphone

TherapyPal: Towards a Privacy-Preserving Companion Diagnostic Tool based on Digital Symptomatic Phenotyping

An explainable COVID-19 detection system based on human sounds.

Closed-looped sensing and stimulation system for Parkinson's disease early diagnosis and rehabilitation

MmEve: Eavesdropping on Smartphone s Earpiece via COTS mmWave Device

A fitness training optimization system based on heart rate prediction under different activities.

MHealth Technologies Toward Active Health Information Collection and Tracking in Daily Life: A Dynamic Gait Monitoring Example

A Smoking Cessation Mobile App for Persons Living With HIV: Preliminary Efficacy and Feasibility Study.

Transfer Learning Model Knowledge Across Multi-Sensors Locations Over Body Sensor Network

Smoking Cessation System for Preemptive Smoking Detection.

Privacy computing using deep compression learning techniques for neural decoding

A progressive prediction model towards home-based stroke rehabilitation programs

Optimal pressure sensor locations in smart insoles for heel-strike and toe-off detection

Shoupa: An AI System for Early Diagnosis of Parkinson's Disease

Randomized controlled trial testing a video-text tobacco cessation intervention among economically disadvantaged African American adults.

Journal Article Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · November 2021 ObjectiveThis pilot study tested the acceptability and short-term outcomes of a culturally specific mobile health (mHealth) intervention (Path2Quit) in a sample of economically disadvantaged African American adults. We hypothesized that ... Full text Open Access Cite

CardiacWave: A mmWave-based Scheme of Non-Contact and High-Definition Heart Activity Computing

Journal Article Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · September 1, 2021 Using wireless signals to monitor human vital signs, especially heartbeat information, has been intensively studied in the past decade. This non-contact sensing modality can drive various applications from cardiac health, sleep, and emotion management. Und ... Full text Cite

Campus safety and the internet of wearable things: Assessing student safety conditions on campus while riding a smart scooter

Conference 2021 IEEE 17th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2021 · July 27, 2021 The campus environments have traditionally revolved around the use of sustainable and practical mobility vehicles such as bicycles, but similar to pedestrians and bicyclists, the students riding smart-scooter are also vulnerable road users and to severe in ... Full text Cite

Ubiquitous Fall Hazard Identification With Smart Insole.

Journal Article IEEE journal of biomedical and health informatics · July 2021 Falls are leading causes of nonfatal injuries in workplaces which lead to substantial injury and economic consequences. To help avoid fall injuries, safety managers usually need to inspect working areas routinely. However, it is difficult for a limited num ... Full text Cite

Interpretable tropical cyclone intensity estimation using Dvorak-inspired machine learning techniques

Journal Article Engineering Applications of Artificial Intelligence · May 1, 2021 The intensity of a tropical cyclone is correlated strongly to the damage it causes when it makes landfall. Most of the time, tropical cyclones are located over the open ocean, where direct intensity measurements are difficult to obtain. An alternative appr ... Full text Cite

A context-adaptive smoking cessation system using videos

Journal Article Smart Health · March 1, 2021 Cigarette smoking is the primary preventable cause of death and disease worldwide. Studies reveal that smoking is associated with psychiatric symptoms, sociodemographic characteristics, social stressors, and lack of social support. In general, smokers repo ... Full text Cite

Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned

Conference Proceedings - 2021 IEEE International Conference on Big Data, Big Data 2021 · January 1, 2021 The growing availability of the data collected from smart manufacturing is changing the paradigms of production monitoring and control. The increasing complexity and content of the wafer manufacturing process in addition to the time-varying unexpected dist ... Full text Cite

Distributed deep learning optimized system over the cloud and smart phone devices

Journal Article IEEE Transactions on Mobile Computing · January 1, 2021 Deep learning has been becoming a promising focus in data mining research. With deep learning techniques, researchers can discover deep properties and features of events from quantitative mobile sensor data. However, many data sources are geographically se ... Full text Cite

mHealth Technologies Towards Parkinson's Disease Detection and Monitoring in Daily Life: A Comprehensive Review.

Journal Article IEEE reviews in biomedical engineering · January 2021 Parkinson's disease (PD) can gradually affect people's lives thus attracting tremendous attention. Early PD detection and treatment can help control the disease progress, relief from the symptoms and improve the patients' life quality. However, the current ... Full text Cite

GAM feature selection to discover predominant factors for mortality of weekend and weekday admission to the ICUs

Journal Article Smart Health · November 1, 2020 “Weekend effect” on mortality is a common controversial topic among many hospitals. Although the mortality of patients associated with weekend Intensive Care Units (ICUs) admission has been demonstrated slightly higher than that of patients admitted on wee ... Full text Cite

Precision HIV Health App, Positive Peers, Powered by Data Harnessing, AI, and Learning

Conference Proceedings - 2020 2nd International Conference on Transdisciplinary AI, TransAI 2020 · September 1, 2020 Mobile phone applications provide a new and easy-access platform for delivering tailored human immunodeficiency virus (HIV) and sexually transmitted disease (STD) prevention and care. Recent researches have shown that mobile interventions have positive eff ... Full text Cite

Efficient mapping of crash risk at intersections with connected vehicle data and deep learning models.

Journal Article Accident; analysis and prevention · September 2020 Traditional methods for identifying crash-prone roadways are mainly based on historical crash data. It usually requires more than three years to collect a sufficient amount of dataset for road safety assessment. However, the emerging connected vehicles (CV ... Full text Cite

Wearable Computing with Distributed Deep Learning Hierarchy: A Study of Fall Detection

Journal Article IEEE Sensors Journal · August 15, 2020 With the development of technologies, an increasing number of wearable devices that are currently at the heart of the development of the Internet of Things are used around the world. The concerns about privacy, in particular healthcare wearable devices, ar ... Full text Cite

Designing Deep Reinforcement Learning Systems for Musculoskeletal Modeling and Locomotion Analysis Using Wearable Sensor Feedback

Journal Article IEEE Sensors Journal · August 15, 2020 In this paper, a system for lower-limb amputees to collect and analyze their locomotion activities is developed. Wearable Gait Lab (WGL) system is a pair of smart insoles that can collect plantar pressure data and foot motion data of subjects. A reinforcem ... Full text Cite

Using Mobile Electroencephalography and Actigraphy to Diagnose Attention-Deficit/Hyperactivity Disorder: Case-Control Comparison Study.

Journal Article JMIR mental health · June 2020 BackgroundChildren with attention-deficit/hyperactivity disorder (ADHD), a neurobehavioral disorder, display behaviors of inattention, hyperactivity, or impulsivity, which can affect their ability to learn and establish proper family and social re ... Full text Cite

Pain Marker Evaluation Application in Augmented Reality and Mobile Platforms

Journal Article Computing in Science and Engineering · May 1, 2020 Pain evaluation methods can represent pain information clearly yet inefficiently; they also cannot effectively display long-term pain records for review or comparison. They often must be supplemented by multidimensional scales with descriptors and labeled ... Full text Cite

Bring Gait Lab to Everyday Life: Gait Analysis in Terms of Activities of Daily Living

Journal Article IEEE Internet of Things Journal · February 1, 2020 With the development of the Internet of Things (IoT), wearable technologies have been proposed to measure gait parameters in everyday life. However, since both diseases and activities could influence gait patterns, clinicians cannot use the measured gait p ... Full text Cite

A community and technology-based approach for hypertension self-management (Coachman) to improve blood pressure control in african americans: Results from a pilot study

Journal Article Patient Preference and Adherence · January 1, 2020 Purpose: Adoption of technology has increased to support self-managing chronic diseases. However, behavioral interventions evaluating such technology have been understudied in African Americans with hypertension. The aim of this study was to explore a comm ... Full text Cite

Medical image learning from a few/few training samples: Melanoma segmentation study

Journal Article Smart Health · December 1, 2019 Melanoma is a type of life-threatening skin cancer which starts in melanocytes. The five-year survival rate of melanoma will increase to 98 percent in case of being detected and diagnosed before involving lymph nodes. Hence, early detection of melanoma has ... Full text Cite

Smart Insole-Based Indoor Localization System for Internet of Things Applications

Journal Article IEEE Internet of Things Journal · August 1, 2019 With the development of Internet of Things (IoT), indoor localization has been a research focus in recent years. For inertial measurement unit (IMU)-based indoor localization method, zero velocity update (ZUPT) uses the known velocity at stationary epoch a ... Full text Cite

Cooperative Sensing and Wearable Computing for Sequential Hand Gesture Recognition

Journal Article IEEE Sensors Journal · July 15, 2019 Hand gestures recognition (HGR) has been considered as one of the crucial research fields of human-computer interaction (HCI). Computer vision is a very active research field in the HGR, traditional vision-based methods, which used camera and ultrasonic/op ... Full text Cite

Explore correlation between body balance and perception using mhealth technology

Conference 2019 IEEE 16th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2019 - Proceedings · May 1, 2019 Body balance and perception have been shown to be linked in a number of studies, ranging from plasma membrane calcium ATPase isoform PMCA2 deficiency causing both balance and hearing problems in mice to MS (multiple sclerosis) patients' loss of foot sole s ... Full text Cite

Use of the Phase-Based Model of Smoking Treatment to Guide Intervention Development for Persons Living with HIV Who Self-Identify as African American Tobacco Smokers.

Journal Article International journal of environmental research and public health · May 2019 Cigarette smoking is highly prevalent among persons living with the human immunodeficiency virus (HIV) (PLWH), with rates as high 50% as compared to 14% in the general U.S. population. Tobacco use causes morbidity and mortality in PLWH, and tobacco-related ... Full text Open Access Cite

The Smart Insole: A Pilot Study of Fall Detection

Conference Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST · January 1, 2019 Falls are common events among human beings and raised a global health problem. Wearable sensors can provide quantitative assessments for fall-based movements. Automatic fall detection systems based on the wearable sensors are becoming popular in recent yea ... Full text Cite

Hidden Smile Correlation Discovery Across Subjects Using Random Walk with Restart

Journal Article IEEE Transactions on Affective Computing · January 1, 2019 Fine-grained smile analysis is a complicated and challenging process. Understanding other party's smiles is one of the key tasks associated with realizing the implicit messages transmitted by the human. Considering this kind of message transmission is a ma ... Full text Cite

Smart Prosthesis System: Continuous Automatic Prosthesis Fitting Adjustment and Real-time Stress Visualization

Conference 2018 IEEE Biomedical Circuits and Systems Conference, BioCAS 2018 - Proceedings · December 20, 2018 Prosthetic devices have significantly improved mobility and quality of life for amputees. Significant engineering advancements have been made in artificial limb biomechanics, joint control systems, and light-weight materials. Amputees report that the prima ... Full text Cite

Are you smoking? Automatic alert system helping people keep away from cigarettes

Journal Article Smart Health · December 1, 2018 Tobacco smoking is responsible for one out of every five deaths in the US, according to the Centers for Disease Control and Prevention (CDC). Recent advances in treatment delivery include technology-based mobile health approaches, which seek to deliver rea ... Full text Cite

Customizable pressure sensor array: Design and evaluation

Journal Article IEEE Sensors Journal · August 1, 2018 Pressure senor array is widely used in gait analysis and robotics. To meet the demand on different sizes and reduce the manufacture costs, in this paper, we proposed a design method for customizable pressure sensor array which could be trimmed into differe ... Full text Cite

Risk factors identification and visualization for work-related musculoskeletal disorders with wearable and connected gait analytics system and kinect skeleton models

Journal Article Smart Health · June 1, 2018 Risk factors, such as overexertion, awkward postures, excessive repetition, and the combination of these factors are main causes of work-related musculoskeletal disorders (WMSDs). In this paper, we proposed an automatic WMSDs risk factors identification an ... Full text Cite

Food Nutrition Visualization on Google Glass: Design Tradeoff and Field Evaluation

Journal Article IEEE Consumer Electronics Magazine · May 1, 2018 Acquiring nutritional information before buying and eating food is crucial for making healthier choices and more educated selections. Therefore, there is a demand for electronic devices that can automatically access nutrition information. To help with this ... Full text Cite

Online learning classifier based behavioral biometrie authentication

Conference 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018 · April 2, 2018 In this paper, we implement a behavioral biometric-based smartphone authentication technique with online training methods. The most obvious difference between online and traditional classification is that online methods allow model training and data collec ... Full text Cite

Does background really matter? Worker activity recognition in unconstrained construction environment

Conference 2018 IEEE 15th International Conference on Wearable and Implantable Body Sensor Networks, BSN 2018 · April 2, 2018 In order to prevent the construction injuries effectively, it is essential to fully understand the accident causation in construction. Worker action detection and recognition can be treated as the initial step of further productivity and risk factor analys ... Full text Cite

Machine-learning approaches for recognizing muscle activities involved in facial expressions captured by multi-channels surface electromyogram

Journal Article Smart Health · January 1, 2018 Facial expression recognition plays an important role on mimicking and synchronizing person's mental activity. Various approaches have been employed for recognition on facial expression, like facial image and video analysis. Bio-signals as very important b ... Full text Cite

ZnO nanowall networks for sensor devices: From hydrothermal synthesis to device demonstration

Journal Article ECS Journal of Solid State Science and Technology · January 1, 2018 This paper reports the synthesis of ZnO nanowalls (NWLs) on various substrates by low cost and scalable hydrothermal approach targeting for flexible sensor device applications. Prototype flexible piezoelectric sensor devices using the synthesized ZnO NWLs ... Full text Cite

An 'Internet of Ears' for crowd-aware smart buildings based on sparse sensor networks

Conference Proceedings of IEEE Sensors · December 21, 2017 This paper introduces sparse low-power sensor networks using passive seismic sensors for crowd-aware smart buildings, resulting in an 'Internet of Ears (IoE)' that can hierarchically detect human footsteps, estimate walk direction, and track person positio ... Full text Cite

Wearable Gait Lab System providing quantitative statistical support for human balance tests

Journal Article Smart Health · September 1, 2017 Sensory devices have the potential to improve monitoring balance tests and providing quantitative supports for activity analysis. The Wearable Gait Lab system is proposed to monitor activities of feet and legs during balance tests. In this system, a wearab ... Full text Cite

Risk Factors Identification for Work-Related Musculoskeletal Disorders with Wearable and Connected Gait Analytics System

Conference Proceedings - 2017 IEEE 2nd International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2017 · August 14, 2017 Risk factors, such as overexertion, awkward postures, excessive repetition, and the combination of these factors are main causes of work-related musculoskeletal disorders (WMSDs) which are reported to be the leading nonfatal occupational injuries. However, ... Full text Cite

A collaborative privacy-preserving deep learning system in distributed mobile environment

Conference Proceedings - 2016 International Conference on Computational Science and Computational Intelligence, CSCI 2016 · March 17, 2017 In the last couple years, deep learning gained great popularity in health and medical science. For analyzing personal health data, privacy of patients and their data is one of the biggest concerns. Traditional methods have the possibility of leaking data b ... Full text Cite

An "Internet of Ears" for Crowd-Aware Smart Buildings based on Sparse Sensor Networks

Conference 2017 IEEE SENSORS · 2017 Cite

Tidal Volume Estimation Using Portable Ultrasound Imaging System

Journal Article IEEE Sensors Journal · December 15, 2016 Tidal volume (inhaled air volume per breath) is an important index to indicate whether a person has been infected by respiratory diseases. In this paper, we evaluated a solution of tidal volume measurement based on an ultrasound system, which is more suita ... Full text Cite

Body-Earth Mover's Distance: A Matching-Based Approach for Sleep Posture Recognition.

Journal Article IEEE transactions on biomedical circuits and systems · October 2016 Sleep posture is a key component in sleep quality assessment and pressure ulcer prevention. Currently, body pressure analysis has been a popular method for sleep posture recognition. In this paper, a matching-based approach, Body-Earth Mover's Distance (BE ... Full text Cite

A Self-Calibrating Radar Sensor System for Measuring Vital Signs.

Journal Article IEEE transactions on biomedical circuits and systems · April 2016 Vital signs (i.e., heartbeat and respiration) are crucial physiological signals that are useful in numerous medical applications. The process of measuring these signals should be simple, reliable, and comfortable for patients. In this paper, a noncontact s ... Full text Cite

EmphaSSL: Towards emphasis as a mechanism to harden networking security in android apps

Conference Proceedings - IEEE Global Communications Conference, GLOBECOM · January 1, 2016 The use of secure HTTP calls is a first and critical step toward securing the Android application data when the app interacts with the Internet. However, one of the major causes for the unencrypted communication is app developer's errors or ignorance. Coul ... Full text Cite

BreathSens: A Continuous On-Bed Respiratory Monitoring System With Torso Localization Using an Unobtrusive Pressure Sensing Array.

Journal Article IEEE journal of biomedical and health informatics · September 2015 The ability to continuously monitor respiration rates of patients in homecare or in clinics is an important goal. Past research showed that monitoring patient breathing can lower the associated mortality rates for long-term bedridden patients. Nowadays, in ... Full text Cite

FridgeNet: A Nutrition and Social Activity Promotion Platform for Aging Populations

Journal Article IEEE Intelligent Systems · July 1, 2015 A society in which older people have fewer offspring or have children who live far away increases the number of people living alone. Inevitably, these isolated adults gradually lose their connection with society, and their social skills worsen. FridgeNet p ... Full text Cite

Usability of a low-cost wearable health device for physical activity and sleep duration in healthy adults

Conference MobileHealth 2015 - Proceedings of the 2015 Workshop on Pervasive Wireless Healthcare, co-located with MobiHoc 2015 · June 22, 2015 For public health and epidemiology, an understanding of physical activity and sleep duration is important. People found decreased physical activity and short sleep duration as they aged. The development of healthy behaviors in the early life will ensure a ... Full text Cite

Asthma Pattern Identification via Continuous Diaphragm Motion Monitoring

Journal Article IEEE Transactions on Multi-Scale Computing Systems · June 1, 2015 Ultrasound imaging has been widely used in bio-medical imaging diagnosis for a long history because of its merits: no radiation, high penetration depth, and real-time imagingcapability. In this paper, we propose an ultrasound-based system that monitors res ... Full text Cite

An energy-efficient adaptive sensing framework for gait monitoring using smart insole

Journal Article IEEE Sensors Journal · April 1, 2015 Gait analysis is an important process to gauge human motion. Recently, longitudinal gait analysis received much attention from the medical and healthcare domains. The challenge in studies over extended time periods is the battery life. Due to the continuou ... Full text Cite

TOTAL HEALTH: Toward continuous personal monitoring

Chapter · January 1, 2015 Ubiquitous personal monitoring of health is being rapidly developed in recent years. However the concept of pervasive computing in healthcare focuses on individual systems. We propose that Total Health is the transformation of healthcare that aims for comp ... Full text Cite

A smart phone based gait monitor system

Conference BodyNets International Conference on Body Area Networks · January 1, 2015 Gait analysis is the study of human locomotion and is able to provide useful information in various areas such as health care, therapy, sports training, and characteristic recognition. This paper presents a smartphone based system to collect and calculate ... Full text Cite

Acu glass: Quantifying acupuncture therapy using google glass

Conference BodyNets International Conference on Body Area Networks · January 1, 2015 Acupuncture is a therapeutic or preventative therapy through the stimulation on acupoints that located on the body surface across the anatomy to affect the functions of specific organs or soft tissues. During the acupuncture training process, mapping the a ... Full text Cite

Machine learning-based assessment tool for imbalance and vestibular dysfunction with virtual reality rehabilitation system.

Journal Article Computer methods and programs in biomedicine · October 2014 Background and objectiveDizziness is a major consequence of imbalance and vestibular dysfunction. Compared to surgery and drug treatments, balance training is non-invasive and more desired. However, training exercises are usually tedious and the a ... Full text Cite

Designing a robust activity recognition framework for health and exergaming using wearable sensors.

Journal Article IEEE journal of biomedical and health informatics · September 2014 Detecting human activity independent of intensity is essential in many applications, primarily in calculating metabolic equivalent rates and extracting human context awareness. Many classifiers that train on an activity at a subset of intensity levels fail ... Full text Cite

Using pressure map sequences for recognition of on bed rehabilitation exercises.

Journal Article IEEE journal of biomedical and health informatics · March 2014 Physical rehabilitation is an important process for patients recovering after surgery. In this paper, we propose and develop a framework to monitor on-bed range of motion exercises that allows physical therapists to evaluate patient adherence to set exerci ... Full text Cite

Automate virtual reality rehabilitation evaluation for chronic imbalance and vestibular dysfunction patients

Conference Lecture Notes in Electrical Engineering · February 17, 2014 Dizziness is a major consequence of chronic imbalance and vestibular dysfunction, which prevents people performing their routine tasks and affects their quality of life. It may lead to severe injuries caused by unexpected falling. Medicine treatment can al ... Full text Cite

Bodypart localization for pressure ulcer prevention.

Conference Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · January 2014 Pressure ulcers, commonly called bedsores, are defined as injuries to the skin and underlying tissue resulting from prolonged pressure usually on bony areas of the body, such as heels and hips. In order to alleviate pressure accumulation at high-risk regio ... Full text Cite

Intelligent frozen shoulder rehabilitation

Journal Article IEEE Intelligent Systems · January 1, 2014 Frozen shoulder, or adhesive capsulitis, which reportedly affects 2â5 percent of the general population, is a shoulder condition characterized by painful and limited active and passive range of motion. The main treatment involves applying proper shoulder e ... Full text Cite

Unobtrusive sleep stage identification using a pressure-sensitive bed sheet

Journal Article IEEE Sensors Journal · January 1, 2014 Sleep constitutes a big portion of our lives and is a major part of health and well-being. Monitoring the quality of sleep can aid in the medical diagnosis of a variety of sleep and psychiatric disorders and can serve as an indication of several chronic di ... Full text Cite

Sleep posture analysis using a dense pressure sensitive bedsheet

Conference Pervasive and Mobile Computing · January 1, 2014 Sleep posture affects the quality of our sleep and is especially important for such medical conditions as sleep apnea and pressure ulcers. In this paper, we propose a design for a dense pressure-sensitive bedsheet along with an algorithmic framework to rec ... Full text Cite

EZwakeup: A sleep environment design for sleep quality improvement

Conference Conference on Human Factors in Computing Systems - Proceedings · January 1, 2014 Sleep quality affects people's work performance, mood, safety, and quality of life. Poor sleep quality reduces short-term memory, cognitive abilities, and motor skills for all age groups. We introduce EZwakeup, a system that extracts sleep quality indicato ... Full text Cite

Inconspicuous on-bed respiratory rate monitoring

Conference ACM International Conference Proceeding Series · November 29, 2013 The monitoring of human respiratory rate is essential in many clinical applications including the detection and monitoring of sleep disorders, the monitoring of newborns for Sudden Infant Death Syndrome (SIDS), and identifying patients at high risk up to 2 ... Full text Cite

mCOPD: Mobile phone based lung function diagnosis and exercise system for COPD

Conference ACM International Conference Proceeding Series · November 29, 2013 COPD (Chronic Obstructive Pulmonary Disease) is a serious lung disease that causes difficulty in breathing. COPD patients require lung function examinations and perform breathing exercises on a regular basis in order to manage and be more aware of their he ... Full text Cite

Proper running posture guide: A wearable biomechanics capture system

Conference Proceedings of the 8th International Conference on Body Area Networks, BodyNets 2013 · October 29, 2013 Running is a popular exercise for all age groups. It helps heart and lung functions, enhances muscle strength and control weight. Nevertheless, excessive fatigue and severe injury resulting from inappropriate running poses might reduce the benefits brought ... Full text Cite

See UV on your skin: An ultraviolet sensing and visualization system

Conference Proceedings of the 8th International Conference on Body Area Networks, BodyNets 2013 · October 29, 2013 These days, as the Earth's protective ozone layer gets thinner, ultraviolet (UV) radiation threat is growing. In addition, getting tanned as a fashion leads people to wear less clothing, which increases UV intake. Excessive exposure to ultraviolet will lea ... Full text Cite

On-bed monitoring for range of motion exercises with a pressure sensitive bedsheet

Conference 2013 IEEE International Conference on Body Sensor Networks, BSN 2013 · October 1, 2013 This paper presents the design of an on-bed rehabilitation exercise monitoring system that utilizes a high density sensor bedsheet to evaluate active range of motion exercises. We propose and develop a novel framework to analyze the progression of pressure ... Full text Cite

Robust human intensity-varying activity recognition using Stochastic Approximation in wearable sensors

Conference 2013 IEEE International Conference on Body Sensor Networks, BSN 2013 · October 1, 2013 Detecting human activity independent of intensity is essential in many applications, primarily in calculating metabolic equivalent rates (MET) and extracting human context awareness from on-body inertial sensors. Many classifiers that train on an activity ... Full text Cite

ECushion: A textile pressure sensor array design and calibration for sitting posture analysis

Journal Article IEEE Sensors Journal · September 17, 2013 Sitting posture analysis is widely applied in many daily applications in biomedical, education, and health care domains. It is interesting to monitor sitting postures in an economic and comfortable manner. Accordingly, we present a textile-based sensing sy ... Full text Cite

Rapid electrochemical detection on a mobile phone.

Journal Article Lab on a chip · August 2013 We present a compact mobile phone platform for rapid, quantitative biomolecular detection. This system consists of an embedded circuit for signal processing and data analysis, and disposable microfluidic chips for fluidic handling and biosensing. Capillary ... Full text Cite

A dense pressure sensitive bedsheet design for unobtrusive sleep posture monitoring

Conference 2013 IEEE International Conference on Pervasive Computing and Communications, PerCom 2013 · July 18, 2013 Sleep plays a pivotal role in the quality of life, and sleep posture is related to many medical conditions such as sleep apnea. In this paper, we design a dense pressure-sensitive bedsheet for sleep posture monitoring. In contrast to existing techniques, o ... Full text Cite

A handheld, cell phone-based electrochemical biodetector

Conference Proceedings of the IEEE International Conference on Micro Electro Mechanical Systems (MEMS) · April 2, 2013 We present a handheld, biomolecular detector based on a cell phone platform. This prototype integrates a conventional smart phone with a custom electrical circuit and a microfluidic chip, which enables a portable, lightweight biodetection system. An electr ... Full text Cite

Inconspicuous personal computer protection with touch-mouse

Conference Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) · January 1, 2013 We present a hassle-free personal information protection design that continuously monitors user identity with a Microsoft touchmouse [1] under a windows-based computer environment. This is the first design which investigates the relationship between time-i ... Full text Cite

SmartGlove for upper extremities rehabilitative gaming assessment

Conference ACM International Conference Proceeding Series · December 1, 2012 This paper presents a quantitative assessment solution for an upper extremities rehabilitative gaming application [1]. This assessment solution consists of a set of stand-alone hardware, including SmartGlove and Kinect, a depth capturing sensor made by Mic ... Full text Cite

Smart insole: A wearable system for gait analysis

Conference ACM International Conference Proceeding Series · December 1, 2012 Gait analysis is an important medical diagnostic process and has many applications in rehabilitation, therapy and exercise training. However, standard human gait analysis has to be performed in a specific gait lab and operated by a medical professional. Th ... Full text Cite

Experimental analysis of IEEE 802.15.4 for on/off body communications

Conference IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC · December 1, 2011 We target body-wearable sensor networks, in which sensor nodes are strategically placed on the human body and the wireless communications are conducted on/off the surface of the body. The results, obtained by performing multiple experiments in outdoor envi ... Full text Cite

Gaming for upper extremities rehabilitation

Conference Proceedings - Wireless Health 2011, WH'11 · December 1, 2011 This paper presents a hand motion capture system. Its application is a wearable controller for an upper extremities rehabilitation game. The system consists of a wearable data glove platform (SmartGlove, a customized finger pressure, bending, and 9DOM moti ... Full text Cite

eCushion: An eTextile device for sitting posture monitoring

Conference Proceedings - 2011 International Conference on Body Sensor Networks, BSN 2011 · August 29, 2011 Sitting posture analysis is critical for daily applications in biomedical, education and healthcare fields. However, it remains unclear how to monitor sitting posture economically and comfortably. To this end, we presented an eTextile device, called eCushi ... Full text Cite