The analysis of Sit-to-Stand (STS) movement can lead to the early detection of a decline in physical functioning. The present study clarified the differences between age groups in common STS movements of daily life. We measured the three patterns of STS movement assumed to be performed in living spaces. Principal component analysis was applied to the overall time series data. From the synthesized principal component space, principal components with significant differences between the elderly and young adults were extracted, and the movement strategies of elderly participants were revealed.