Peer-reviewed paper
Realtime Person Identification via Gait Analysis using IMU Sensors on Edge Devices
The paper demonstrates real-time person identification from gait signals measured with IMU sensors on edge devices. It highlights how lightweight sensing and edge inference can support privacy-preserving identification tasks.
Abstract Summary
The paper demonstrates real-time person identification from gait signals measured with IMU sensors on edge devices. It highlights how lightweight sensing and edge inference can support privacy-preserving identification tasks.
Research Context
This paper contributes to my research program in edge devices, IMU sensors, neuromorphic systems. It is part of the broader work on efficient ML systems, hardware-software co-design, and deployment-aware computer architecture.