Sensory Perception & Interaction Research Group

University of British Columbia

Gait Classification on Smartphones

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Smartphones have a wealth of sensors in them. To improve ubiquitous application, we use smartphone accelerometers to measure information about gait (how a person walks). We've developed the RRACE algorithm that can sense a user's cadence (step frequency) without any training on the person. We also used machine learning to classify different gaits to provide input to an exercise game or other active application. We have working implementations of both systems that run on Android.