A comprehensive analysis of sit‐to‐stand movement in a living space involving principal component analysis

Sit-to-stand (STS) movement is a frequently performed activity of daily living. The analysis STS can lead to the early detection decline in physical functioning. There thus interest home-based monitoring systems. present study (1) extracted universal differences by age group common movements life and (2) clarified where between groups lie sequence movements. We experimented measure three patterns assumed be living spaces. Ten young adults seventeen elderly people participated. Data were acquired an Azure Kinect DK, RGB-D camera, converted into angles angular velocities major body segments. Principal component was applied overall time series data. From synthesized principal space, components with significant young-adult extracted, participants evaluated. found parameters strategies that show characteristics each for pattern. results this contribute design