Zuckerman Faculty Scholar Arielle Fischer publishes paper in IEEE Sensors Journal
Technion – Israel Institute of Technology
The identification of gait events is crucial for assessing walking patterns and deviations. Real-time gait event detection has the potential to facilitate the development of assistive tools, such as wearable devices that provide biofeedback to correct walking pattern deviations through vibration, visual or auditory cues. This study consists of two phases. In the first phase, a novel gait detection wearable device was developed and validated for detecting heel-strikes in comparison to a force-plate. Ten participants were enrolled in the validation phase, resulting in the collection of 218 heel-strike events. The second phase evaluated the effects of a gait-synchronized intermittent vibration wearable device on ankle kinematics and kinetics.