An Automated Digital Biomarker of Mobility
Tian Hao, Yasunori Yamada, et al.
ICDH 2023
In modern life, the nonstop and pervasive stress tends to keep us on long-lasting high alert, which over time, could lead to a broad range of health problems from depression, metabolic disorders to heart diseases. However, there is a stunning lack of practical tools for effective stress management that can help people navigate through their daily stress. This paper presents the feasibility evaluation of StressHacker, a smartwatch-based system designed to continuously and passively monitor one's stress level using bio-signals obtained from the on-board sensors. With the proliferation of smartwatches, StressHacker is highly accessible and suited for daily use. Our preliminary evaluation is based on 300 hours of data collected in a real-life setting (12 subjects, 29 days). The result suggests that StressHacker is capable of reliably capturing daily stress dynamics (precision = 86.1%, recall = 91.2%), thus with great potential to enable seamless and personalized stress management.
Tian Hao, Yasunori Yamada, et al.
ICDH 2023
Johannes Thye, Toria Shaw, et al.
Stud. Health Technol. Informatics
Ursula Hübner, Toria Shaw, et al.
Methods of Information in Medicine
Zhiguo Li, Subhro Das, et al.
IEEE J-BHI