Smart Gait: AI-Enabled Flexible Wearable Sensor System for Early Detection of Gait Impairments and Movement Disorders

Smart Gait: AI-Enabled Flexible Wearable Sensor System for Early Detection of Gait Impairments and Movement Disorders

Smart Gait: AI-Enabled Flexible Wearable Sensor System for Early Detection of Gait Impairments and Movement Disorders


Dr. Jalal Ahamed

University of Windsor


FUNDER: Faculty of Engineering, Vice President Research & Innovation

DURATION: 2026-2027

Related Programs:
Nucleus Cores:

Bringing together expertise across multiple fields, researchers are developing a flexible, AI-enabled smart insole to measure walking patterns in real-world settings. By integrating soft sensors, motion tracking, lightweight electronics, and artificial intelligence, the team will create and validate a device capable of assessing gait, balance, and foot pressure, including in a pilot study involving people with post-stroke walking challenges.

By moving gait assessment beyond specialized laboratories, this work aims to make mobility monitoring more accessible, enabling earlier intervention, more personalized rehabilitation, and broader access to high-quality care across Windsor-Essex.

Co-Investigators:

University of Windsor

  • Dr. Joel Cort
  • Dr. Simon Rondeau-Gagné

Collaborator:

Hôtel-Dieu Grace Healthcare

  • Dr. Dana Seslija
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