A Dual-Modality Approach for Contactless Vital Sign Monitoring Using Camera and Wi-Fi CSI
Conference
Gopireddy, K, Wang, Y, Shen, J et al. (2025). A Dual-Modality Approach for Contactless Vital Sign Monitoring Using Camera and Wi-Fi CSI
. 470-475. 10.1145/3721201.3725435
Gopireddy, K, Wang, Y, Shen, J et al. (2025). A Dual-Modality Approach for Contactless Vital Sign Monitoring Using Camera and Wi-Fi CSI
. 470-475. 10.1145/3721201.3725435
Contactless monitoring of breathing patterns is essential for diagnosing conditions such as sleep disorders and lung diseases. However, existing methods such as Radio Frequency Identification (RFID), radar, Wi-Fi Channel State Information (CSI), and camera-based techniques face challenges like signal noise and environmental interference. To address these challenges, we propose a model that enhances the robustness of vital sign monitoring by integrating multiple sensing techniques. In this paper, we propose a dual-modality, device-free breathing detection system that integrates Wi-Fi CSI and camera-based sensing to classify breathing patterns into four categories: fast, normal, slow, and breath-holding. We also design a neural network model that integrates Wi-Fi-based and camera-based breathing sensing and integrate them into an ensemble neural network model for robust classification. Our results demonstrate that this approach significantly enhances both robustness and accuracy in breathing type prediction.
