Figure 5
The sensors and algorithm used to segment different transition points during a TUG. These sensors were selected by optimizing the transition time from each sensor with the visually segmented time. Sit-to-stand transition was detected using mean time from the acceleration of the trunk (az) and the knee angle (θ) while stand-to-sit and stand-to-walk-out were estimated using only the trunk az. Transitions before and after Turning were detected using the mean time estimated using the ωy of the hip and the trunk. However during turn-to-walk-in transition only the ωy of the hip was used since it yielded the best approximation as compared to the visual segmentation.