Figure 7From: Auto detection and segmentation of physical activities during a Timed-Up-and-Go (TUG) task in healthy older adults using multiple inertial sensorsOptimization of w 2 of trunk az during sit-to-stand transition. A) The cost function of the trunk az as a function of the high cut frequency (w 2 ) during sit-to-stand transition across all participants (n = 16). B) The convergence of w 2 as it optimized across more participants. This result indicated that kinematics patterns were stable in these inertial sensors during the performance of these activities. While there was variability between participants, the optimal frequency quickly converged when more participants were factored into the cost function. Similar behaviors were also observed in other sensors for all seven transitions.Back to article page