×

img Accessibility Controls

Innovations Banner

Academic Innovations

Ability to walk (manner of walking being gait) is fundamental to healthy living, emphasizing gait quantification. Gait can be heterogeneous irrespective of whether healthy or with hemiplegia, parkinsonism, osteoarthritis, flat-foot, foot-drop, needing knee surgery, gait rehabilitation, etc. Conventional gait quantification using foot imprints, though inexpensive, suffers from measurement subjectivity. Alternatively, Camera-based systems and Walkmats suffer from operational complexity, high-cost, and limited portability. Accelerometers and gyroscopes are portable and cost-effective, but use model-based approach (limiting inference beyond trained model) to quantify gait, coupled with drift issues. In contrast, force sensors in shoe soles allow direct sensor-based gait-event detection to quantify gait. Multiple sensors increase hardware complexity and too few sensors miss sensing gait abnormalities, making these practically infeasible.

Innovator Details

Innovator
Prof. Shakuntala

About

This project aims to bridge this gap by proposing to extend our current insoles to come up with WeGaMo, a wearable, cost-effective gait quantifier which uses (a)optimal combination of sensors to sense pressure profile from cardinal points below foot, (b)edge computing and IoT-based technique coupled with AI-based tools to characterize healthy and abnormal gait.
Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
TRL: Technology Readiness Level
5
TIH Name
TIH Foundation for IoT & IoE
Status
ongoing
arrowtop
Latest Updates
Loading…