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Figure 2 | Journal of NeuroEngineering and Rehabilitation

Figure 2

From: Auto detection and segmentation of physical activities during a Timed-Up-and-Go (TUG) task in healthy older adults using multiple inertial sensors

Figure 2

Activities detection during a TUG. Detection of different activities during a TUG for one participant. Raw signals were detrended and normalized for uniformity across all participants. The detection algorithm relied on detecting the large kinematic peaks in the inertial sensor (TMax and TMin) that corresponded to different activities. The square signals were generated at 30% of the peaks to visually indicate that activities were detected during TUG. A) Standing, when participants stand up from the chair, was detected using the trunk az and the time derivative of the hip (\( {\dot{a}}_y\kern0.5em >0 \)). B) Turning was identified using the trunk angular velocity (ωy) C) Sitting, when participants sit down on the chair, was detected using the trunk az and the time derivative of the hip (\( {\dot{a}}_y\kern0.5em >0 \)). D) Walking was identified by using a 500 ms windows to detect the oscillation in the angular velocity of the hip (ωy).

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