Coordination modes in the multisegmental dynamics of hula hooping
Biological Cybernetics
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The paper demonstrates the feasibility of using mobile phones for fitness and rehabilitation purposes by training them to recognise a user's hula-hooping movements. It also proposes several parameters which can be used as a measure of rhythmic movement quality. Experimental measurements were achieved with two test subjects performing two sets of steady hula-hooping. The paper compares algorithm performance with accelerometer, gyroscope and magnetometer sensor readings. Analysis of the recorded data indicated that magnetometers had some advantages over accelerometers for reliable phase extraction. Hilbert transforms were used to extract the phase information, and a Dynamic Rhythmic Primitive Model was identified for the hula-hooping movement. Together these tools allow the creation of hula-hooping performance metrics which can be used in wellness, rehabilitation or entertainment applications for mobile devices. We outline open technical challenges and possible future research directions.