학술논문

Health chair : implicitly sensing heart and respiratory rate
Document Type
Conference
Source
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. :661-671
Subject
EKG sensing
implicit sensor
resistive pressure sensor
sensing chair
vital signs sensing
Language
English
Abstract
People interact with chairs frequently, making them a potential location to perform implicit health sensing that requires no additional effort by users. We surveyed 550 participants to understand how people sit in chairs and inform the design of a chair that detects heart and respiratory rate from the armrests and backrests of the chair respectively. In a laboratory study with 18 participants, we evaluated a range of common sitting positions to determine when heart rate and respiratory rate detection was possible (32% of the time for heart rate, 52% for respiratory rate) and evaluate the accuracy of the detected rate (83% for heart rate, 73% for respiratory rate). We discuss the challenges of moving this sensing to the wild by evaluating an in-situ study totaling 40 hours with 11 participants. We show that, as an implicit sensor, the chair can collect vital signs data from its occupant through natural interaction with the chair.

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