Chongguang Bi, Guoliang Xing, et al.
PerCom 2017
RSA-BT (Respiratory Sinus Arrhythmia biofeedback-based Breathing Training) is a cardio-respiratory intervention that has been commonly used as a complementary treatment to respiratory diseases, as well as an exercise to help manage stress and anxiety. Despite its health benefits, today's RSA-BT still relies on in-person sessions and cumbersome sensing devices in a clinical setting, which limits its accessibility. In this paper, we propose BreathCoach, a smart and unobtrusive system that enables effective in-home RSA-BT using sensors on a smartwatch and smartphone-based VR. Specifically, BreathCoach continuously measures key bio-signals including breathing pattern (BP), inter-beat interval (IBI), amplitude of RSA, and intelligently calculates the optimal BP based on current and historical measurements. The recommended BP is conveyed to users through a VR game to provide intuitive guidance. BreathCoach is implemented on a smartphone and a smartwatch with two proof-of-concept VR games. We conducted experiments with 10 participants and evaluated BreathCoach in three aspects: accuracy of physiological measurement, effectiveness of training, and user experience. The results suggest that BreathCoach is able to reliably measure needed bio-signals and intelligently calculate BP recommendations which result in improved performance compared with the traditional approach.
Chongguang Bi, Guoliang Xing, et al.
PerCom 2017
Xiangmao Chang, Gangkai Li, et al.
MASS 2019
Linlin Tu, Tian Hao, et al.
UbiComp/ISWC 2018
Tian Hao, Yasunori Yamada, et al.
ICDH 2023