Work

Demo: Real-time mmWave Radar Human Sensing Testbed

Year: 2024

Type: conference-paper

Abstract: Millimeter-wave (mmWave) radar is emerging as a promising sensor for various human sensing tasks. Deep learning is frequently applied in radar-based applications, which typically require extensive data collection and labeling. In this demo, we present a low-cost hardware setup and a cross-platform software pipeline that automatically captures radar data of human activities, labels ground truth, and tests inference models in real time. The effectiveness of the testbed is demonstrated through real-time human pose estimation.

Source: Proceedings of the 28th Annual International Conference on Mobile Computing And Networking

DOI: 10.1145/3636534.3698860

Authors: Ruofeng Liu, Shuai Wang, Shuai Wang, Wenchao Jiang, Weiwei Chen, Ruili Shi, Luoyu Mei, Taiwei Lin

Institutions: Michigan State University, Southeast University, Singapore University of Technology and Design, Shanghai University

Language: English

Topic: Non-Invasive Vital Sign Monitoring

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4405014302

FWCI: 3.822

Cites: 3

Cited by: 4

Related to: 10