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Frank DeRuyter

Professor Emeritus of Head and Neck Surgery & Communication Sciences
Head and Neck Surgery & Communication Sciences
Box 3887 Med Ctr, Durham, NC 27710
164 Baker House, Brown Zone, Durham, NC 27710

Scholarly Works - Conferences


Survey of rehabilitation clinicians in the united states: Barriers and critical use-cases for mrehab adoption

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2020 This paper presents data and analysis from survey research conducted by the Rehabilitation Engineering Research Center on Information and Communications Technology Access for Information and Communications Technology (ICT) Access for Community Living, Heal ... Full text Cite

Mobile health and mobile rehabilitation for people with disabilities: Current state, challenges and opportunities: introduction to the special thematic session

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2020 Over the past decade, technologies have transformed society, education, entertainment, business and now healthcare. Today, digital health technologies are reaching a level of maturity that supports the robust and broad scope of healthcare. It has only been ... Full text Cite

Survey of user needs: Mobile apps for mhealth and people with disabilities

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2020 This paper presents data and analysis from survey research conducted by the Rehabilitation Engineering Research Center on Information and Communication Technology Access for Mobile Rehabilitation (mRehab RERC) on the use and unmet needs for mHealth mobile ... Full text Cite

Mobile healthcare and people with disabilities: Results from a preliminary survey

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2018 Significant health disparities exist between the general population and people with disabilities, particularly with respect to chronic health conditions. Mobile healthcare – the delivery of healthcare via mobile communication devices – is witnessing tremen ... Full text Cite

Mobile healthcare and mhealth apps: Introduction to the special thematic session

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2018 Over the past decade, technologies have transformed society, education, entertainment, business and now healthcare. Today, these technologies are reaching a level of maturity needed to support the robust and broad scope of healthcare. It has only been rece ... Full text Cite

Development and evaluation of a device to measure walking speed

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2018 This manuscript describes the development and testing of a device to measure walking speed. The Gaitbox is a custom, microprocessor-based device that uses an infrared distance sensor to automatically measure, calculate and display walking speed. Walking sp ... Full text Cite

Mobile healthcare and mhealth apps for people with disabilities

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2018 This paper provides an overview and background information related to the mHealth technology landscape specific for the ICCHP 2018 Special Thematic Session of the same title. Specifically, it contains: (1) an overview of mHealth including a working definit ... Full text Cite

Using mobile phones to write in air

Conference Mobisys 11 Compilation Proceedings of the 9th International Conference on Mobile Systems Applications and Services and Co Located Workshops · January 1, 2011 Numerous sensors in modern mobile phones enable a range of people-centric applications. This paper envisions a system called PhonePoint Pen that uses the in-built accelerometer in mobile phones to recognize human writing. By holding the phone like a pen, a ... Full text Cite