Project-gestures

Complex Activity Recognition using Wearable Sensors

In this project, we develop a wearable system to recognize simple (i.e., sequential) and complex (i.e., interleaved and concurrent) activities in real life.

Detecting Smoking Behaviour using a Smart Neckband

This project proposes the design of a smart neckband device for smoking detection.

Recognizing Parkinsonian Gait Pattern

In this project, we propose a novel computation framework to recognize gait patterns in patients with PD.