A Real-time Embodied Sonification Model to Convey Temporal Asymmetry During Running

Existing research has shown that auditory biofeedback can be a powerful tool in improving athletic performance, exploiting the otherwise under-used auditory channel to convey relevant kinematic information. To date, however, no such research has focused on running gait asymmetry, which has a proven link to running economy (energy expenditure). In this work, we designed and developed
an intuitive sonification scheme for conveying temporal asymmetry to a runner. It specifically conveys short- and medium term information on ground contact time asymmetry and cadence through a set of embodied metaphors. We first developed and validated a lightweight algorithm for detecting running gait events, cadence, and ground contact time balance based on data from a single inertial sensor. These features were used as control parameters to a complex FM synthesis engine. The gait detection and sonification systems were implemented in a proof-of-concept application allowing real-time manipulation of system parameters to facilitate the user-centred design of a feasible and usable sonification topology. We hope that the application can form the basis for
the development and evaluation of a wearable system for providing gait asymmetry biofeedback to runners in real time.