The SESAME Vision

The SESAME vision is one in which athletes and coaches are continuously provided with precise and relevant information about their performance, their body state and posture, presented in a form determined by sport-specific training requirements based on a careful analysis of coaching methods and coaches’ information needs.

To realise this, athletes will wear an easily-extensible range of different sensors that capture accurate information about their position, skeletal posture, muscular response, and physiology in a way that is non-intrusive and capable of working in the context in which the athlete normally performs. This setup must be engineered so as not to cause injury, discomfort or performance degradation and it must not interfere with aerodynamics. Wearable sensors will be complemented by track-side monitors and video capture equipment and by an integrated hardware/software/network platform designed to enable substantial volumes of data to be gathered, recorded, analysed and presented to athletes and coaches in the most accessible and useful form.

The information obtained from the sensors will be pre-processed on the athlete to take account of the measurements required and the prevailing network conditions, and will be transmitted wirelessly to a base-station and application platform. Here, they will be further fused and processed in a way that is informed by an understanding of biomechanical models of athletes; an understanding of the consequences of sensor placement error and physical properties of the method of attachment; and the coaching objective for which the data are being captured.

Within SESAME, our primary experimental focus will be on sprinting, for which precise technique is hugely important and mechanical constraints on performance are well understood; consequently, the derived data will include the position, velocity, acceleration and orientation of the athlete, their stride length and rate, body posture and instantaneous pressure in the shoes, as well as physiological data such as heart rate and blood oxygen level. The data will then be output in three different ways: they will be sent for long term storage and offline analysis; they will be presented visually to the coaches in a way that is meaningful to them; and they will be returned directly to the athlete in real time as biofeedback. In terms of visual feedback, the predominant technology used in training for most sports today is video. We propose to enhance this with a range of sensor-derived data and, later, to investigate augmented reality techniques for presentation, at all times drawing on the expertise of coaches at national a

Topic revision: r1 - 20 Jul 2006 - 17:29:08 - RobertHarle
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