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Jinbo Chen

6 accepted papers

2025

Contactless Nighttime Stress Monitoring with mmWave Radar

ICASSP 2025accepted

Contactless stress monitoring, with its non-intrusive nature, is invaluable for maintaining mental and physical health. Recent studies have demonstrated encouraging results in contactless stress monitoring during daytime using radio frequency (RF) signals. However, the weak correlation between stres…

Cited by 0SourceScholar
2025

Spatial Alignment and Temporal Matching Adapter for Video-Radar Remote Physiological Measurement

ICCV 2025poster

Remote physiological measurement (RPM) based on video and radar has made significant progress in recent years. However, unimodal methods based solely on video or radar sensor have notable limitations due to their measurement principles, and multimodal RPM that combines these modalities has emerged a…

Cited by 0SourcePDFScholar
2024

Automotive Radar Interference Mitigation Via SINR Maximization

ICASSP 2024accepted

The mutual interference mitigation between identical or similar radar systems in autonomous driving has gained wide spread attention from both academia and industry. The resulted ghost target interference will reduce the sensitivity of the radar sensor and increase the false alarm rate. To tackle th…

Cited by 0SourceScholar
2024

Contactless Radar Heart Rate Variability Monitoring Via Deep Spatio-Temporal Modeling

ICASSP 2024accepted

Radar sensing has been a promising solution for contactless monitoring of Heart Rate Variability (HRV), an essential indicator of the cardiovascular and autonomic nervous systems. However, existing works neglect heartbeat-driven body surface motions spreading across the entire body with spatial vari…

Cited by 0SourceScholar
2024

Enabling Orientation-Free Mmwave-Based Vital Sign Sensing with Multi-Domain Signal Analysis

ICASSP 2024accepted

Contactless vital signs estimation using mmWave radar has gained significant attention. However, existing studies are built upon the radar being directed facing the thorax to capture fine-grained vital signs, ignoring the angle variation between the radar and thorax in practical deployment. In this…

Cited by 0SourceScholar
2022

Real-Time Fall Detection Using Mmwave Radar

ICASSP 2022accepted

Fall is a severe health threat for elders’ health care. While existing systems could achieve promising performance under specific scenarios, the required computing resources are usually not affordable, which is not applicable for real-time detection. In this paper, we propose mmFall, a real time fal…

Cited by 0SourceScholar