AI RESEARCH
Smartwatch-Based Sitting Time Estimation in Real-World Office Settings
arXiv CS.LG
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ArXi:2604.08808v1 Announce Type: new Sedentary behavior poses a major public health risk, being strongly linked to obesity, cardiovascular disease, and other chronic conditions. Accurately estimating sitting time is therefore critical for monitoring and improving individual health. This work addresses the problem in real-world office settings, where signals from the inertial measurement units (IMU) on a smartwatch were collected from office workers during their daily routines. We propose a method that estimates sitting time from the IMU signals by.