Abstract
This chapter studies the main challenges of biofeedback systems in sport and rehabilitation. The stress is on real-time systems with concurrent feedback. General properties of sensing, with examples of optical and inertial sensor based motion capture systems, are presented. The most important sensor properties and limitations are discussed. Experimental examples for sensor accuracy and sampling rate are presented. Two different implementations of biofeedback system, compact and distributed, are used to study the challenges in sensor signal and data processing. Communication within the feedback loop elements is explained; the emphasis is on relations between the channel transmission parameters that have the main influence on the transmission delay. A brief attention through examples is given to the communication technologies used in biofeedback systems. Special focus is given on feedback loop delays that are studied in relation to the human reaction time. Concurrent biofeedback systems with real-time augmented feedback, that are needed and required in many sports and rehabilitation, are presented at the end. Communication and processing are identified as two main obstacles for high-performance real-time biofeedback systems.
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Kos, A., Umek, A. (2018). Biofeedback Systems in Sport and Rehabilitation. In: Biomechanical Biofeedback Systems and Applications. Human–Computer Interaction Series. Springer, Cham. https://doi.org/10.1007/978-3-319-91349-0_5
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DOI: https://doi.org/10.1007/978-3-319-91349-0_5
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