Assessment of Motion Quality using an IoT-Based Wearable and Mobile Joint Flexion Sensors

Low-cost and real-time measurement of limbs motion and joints flexion is an important step in the assessment of body motion quality with wide ranging applications in physical therapy, sports, and choreographed motions. In this paper, we propose a mobile system for sensing and classifying limbs motion and joints flexion. The system consists of sensing units wearable on all joints of interest. The sensing units use 9 degrees of freedom sensors to capture and log the joints angles over time at a high sampling rate during a capture session. When the session is complete, the units upload the data to a server for analysis. An accompanying mobile app downloads and uses the data to visualize the motion quality against a prerecorded golden standard pattern with added tolerance. We quantize and visualize the portion of the signal over time where deviation from the golden standard is observed. Part of the visualization includes using time to align the deviations with a visual recording of the motions to allow the user to use this feedback to improve their motions, much like how a personal trainer does. Our system is also useful in quantifying improvements in physical therapy when the captured signal is compared over the length of the treatment plan. Our results show the effectiveness of the proposed system in motion quality assessment.

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