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Abstract

APDM is commonly used in research, rehabilitation, and sports medicine to analyze gait patterns using sensors to gather temporal data on each limb and to the computer. Because of the high cost and tedious training it is inaccessible to most of the population. OpenCap AI is a gait analysis software that uses iOS cameras instead of sensors. The use of iOS devices makes the software more accessible and can provide massive advantages is rehabilitation, research, and sports medicine. PURPOSE: To assess agreement of temporal variables while walking with APDM and OpenCap. METHODS: Participants (n=29, age=29.6±15.1 yrs, ht=165.7±8.8 cm, wt=68.4±18.3 kg) were fitted with APDM sensors, then calibrated into the OpenCap using the iOS devices. Participants were asked to walk across the room starting on their left foot to ensure consistency. Participants were asked to repeat the walk three times. Repeated measures ANOVA were used to identify differences, with Alpha set at .05. RESULTS: There were significant differences for each tested variable between OpenCap and APDM (Gait speed: 1.38±0.12 and 1.24±0.11 m/s, p=.001 Stride length: 1.51±0.13 and 1.32±0.12 m, p= .001, Cadence: 110.9±5.8 and 112.8±4.5 steps/min, p=.015, Double Support: 28.0±3.6 and 17.5±2.2 %GC, p=.001. CONCLUSION: There were significant differences between each temporal variable. This fining does not support the claim that OpenCap is an accurate method of gait measurement.

This project was supported in part by the A&MSA Office of Research.

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