BioInteractive Technologies articles
Advancement in assistive technology has led to the commercial availability of multi-dexterous robotic prostheses for the upper extremity. The relatively low performance of the currently used techniques to detect the intention of the user to control such advanced robotic prostheses, however, limits their use. This article explores the use of force myography (FMG) as a potential alternative to the well-established surface electromyography. Specifically, the use of FMG to control differen
Erina Cho;Richard Chen;Lukas-Karim Merhi;Zhen Xiao;Brittany Pousett;Carlo Menon1
A reliable measure of movement repetitions is required to assist in determining the optimal dose for maximizing upper limb recovery after stroke. This study investigated the ability of a new wearable device to capture reach-to-grasp repetitions in individuals with stroke.
Methods—Eight individuals with stroke wore an instrumented wrist bracelet while completing 12 upper limb activities. Participants complete
Lisa A. Simpson;Amanda Mow;Carlo Menon;Janice J. Eng
Hand gesture recognition is important for interactions under VR environment. Traditional vision-based approaches encounter occlusion problems, and thus, wearable devices could be an effective supplement. This study presents a hand grasps recognition method in virtual reality settings, by fusing signals acquired using force myography (FMG), a muscular activity-based hand gesture recognition method, and Leap Motion. We conducted an experiment where partici
Xianta Jiang;Zhen Gang Xiao;Carlo Menon
- 1MENRVA Research Group, School of Engineering Science, Simon Fraser University, Burnaby, BC, Canada
- 2Graduate Program in Rehabilitation Sciences, University of British Columbia, Vancouver, BC, Canada
- 3Rehabilitation Research Program, GF Strong Rehab Centre, Vancouver Coastal Health Research Institute, Vancouver, BC, Canada
- 4Department of Physical Therapy, Univer
Gautam P. Sadarangani;Xianta Jiang;Janice J. Eng;Carlo Menon