TY - GEN
T1 - Fusing UWB and Depth Sensors for Passive and Context-Aware Vital Signs Monitoring
AU - Xie, Zongxing
AU - Zhou, Bing
AU - Cheng, Xi
AU - Schoenfeld, Elinor
AU - Ye, Fan
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - This demonstration presents a working prototype of VitalHub, a practical solution for longitudinal in-home vital signs monitoring. To balance the trade-offs between the challenges related to an individual's efforts thus compliance, and robustness with vital signs monitoring, we introduce a passive monitoring solution, which is free of any on-body device or cooperative efforts from the user. By fusing the inputs from a pair of co-located UWB and depth sensors, VitalHub achieves robust, passive, context-aware and privacy-preserving sensing. We use a COTS UWB sensor to detect chest wall displacement due to the respiration and heartbeat for vital signs extraction. We use the depth information from Microsoft Kinect to detect and locate the users in the field of view and recognize the activities of the respective users for further analysis. We have tested the prototype extensively in engineering and medical lab environments. We will demonstrate the features and performance of VitalHub using real-world data in comparison with an FDA approved medical device.
AB - This demonstration presents a working prototype of VitalHub, a practical solution for longitudinal in-home vital signs monitoring. To balance the trade-offs between the challenges related to an individual's efforts thus compliance, and robustness with vital signs monitoring, we introduce a passive monitoring solution, which is free of any on-body device or cooperative efforts from the user. By fusing the inputs from a pair of co-located UWB and depth sensors, VitalHub achieves robust, passive, context-aware and privacy-preserving sensing. We use a COTS UWB sensor to detect chest wall displacement due to the respiration and heartbeat for vital signs extraction. We use the depth information from Microsoft Kinect to detect and locate the users in the field of view and recognize the activities of the respective users for further analysis. We have tested the prototype extensively in engineering and medical lab environments. We will demonstrate the features and performance of VitalHub using real-world data in comparison with an FDA approved medical device.
KW - aging
KW - health
KW - lon-gitudinal in-home data collection
KW - non-touch sensing
KW - Vital signs monitoring
UR - https://www.scopus.com/pages/publications/85126465820
U2 - 10.1109/CHASE52844.2021.00025
DO - 10.1109/CHASE52844.2021.00025
M3 - Conference contribution
AN - SCOPUS:85126465820
T3 - Proceedings - 2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2021
SP - 119
EP - 120
BT - Proceedings - 2021 IEEE/ACM Conference on Connected Health
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2021
Y2 - 16 December 2021 through 18 December 2021
ER -