Summer Research Internship
Project 16: Human Gesture Detection and Classification Using Mm-wave Radar with Machine Learning
Release time:2017-10-12 Read the number:6694

Contact Information

Prof. Dongying Li



Project Description and Objectives

The project focuses on detection and recognition of human body-part movements, e.g. hand gestures, body postures, etc. The movements are captured by mm-wave radar platforms, and the Doppler signature of the movements are recorded and extracted. These time-domain Doppler diagrams will be further processed by machine-learning algorithms for automatic classification and recognition.


Eligibility Requirements

The applicants shall have strong basic knowledge of signal processing and electromagnetic theory. Familiarity and experience of Matlab programming is also preferred.


Main Tasks

Collection of radar measurement data and dataset construction.

Development of auto-recognition algorithms.





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