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Ming-Chun Huang

Assoc. Professor of Data and Computation at Duke Kunshan University
DKU Faculty

Selected Publications


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 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

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

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 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 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

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 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

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

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

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

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

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 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

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

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 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 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

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 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

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

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

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

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

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

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

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

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

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

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

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

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