In rehabilitation and sports, wearables can be carried at many locations on the body during a wide variety of activities. Most algorithms will result in diminished cadence detection performance and/or work only under constrained conditions.
Almost all wearables contain accelerometers, capable of measuring accelerations in 3D. These acceleration-signals contain information that allows developing a generic algorithm able to detect repetitive movements. This makes the algorithm capable to detect cadence during any form of human locomotion and sports and also supports all sensor positions.
In this project, an adaptive multi-sensor algorithm was developed, validated and tested on the smartphone. The project was funded within the COMMIT project Sensor Based Engagement for Improved Health.