Gait Rehabilitation Research Laboratory

We Are Engineering Therapy

Month

January 2019

Wearable Sensors-based Fall Risk Assessment in Older Adults

Christopher Hoang presents the research from “Gait Rehab Lab” at the Orange Research Expo for Undergraduates, Chapman University. The lab designs and fabricates the sensors and their housing, ranging from bed sore¬†sensor applications to therapy shoes to correct idiopathic toe-walking… Continue Reading →

Fall Risk Assessment in the Elderly using GRAIL-based Sensory Perturbation

Harbir Bhatti presents his research involving Gait Real-Time Analysis Interactive Lab (GRAIL) and fall risk assessment in elderly people. Using sensory perturbations and gait parameters analysis, Harbir creates a model assessing fall risk.

Wearable Sensor-based Gait Classification in Idiopathic Toe Walking Adolescents

Here is Sharon Kim presenting her work with machine learning/deep learning algorithms and idiopathic toe-walking in adolescents. Sharon used these tools to classify toe-toe walking vs. heel-toe walking and build an accurate model.

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