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About this paper
Pranav Mahajan, Amanda Wall, Eleonora Maria Camerone, Julie Stebbins, Eoin Kelleher, Shuangyi Tong, Annina Schmid, Katja Wiech and 2 more
QMT turns video from one smartphone into movement measures for tasks such as forward bending, using estimated 3D poses and time-series alignment. In 13 healthy adults, planar minisquat lumbar flexion agreed with a matching motion-capture measure at r = 0.97 and MAE = 2.68°. At home, repeated measures distinguished healthy and sciatica cohorts, but single-day classification reached only 68.5% accuracy.
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