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Ping Wang
中文
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Engineering · 2025 · Completed

Embedded Gesture Recognition

Real-time gesture recognition on resource-constrained devices

Lightweight neural networks for real-time gesture recognition on embedded hardware, including quantization and deployment for on-device inference.

Role: Student Researcher · Ubiquitous Computing Lab, UW

  • embedded
  • on-device-ml
  • quantization

Overview

Work at the Ubiquitous Computing Lab at the University of Washington: designing and optimizing lightweight neural networks that recognize gestures in real time on resource-constrained embedded devices. This included model quantization and deployment for on-device inference.