Elite athletes walk a fine line between performance success and failure. Although regarded by the public as examples of ultimate fitness, in reality they often exhibit vital signs bordering on clinical pathology. Their physiological parameters challenge our notions of what we consider clinically normal, for, as individuals, athletes represent a unique model of human stress adaptation and often, sadly, mal-adaptation. Understanding this human variance may assist ultimately in understanding aspects of well being in the population at large, in the work place and during healthy exercise, as well as when undergoing lifestyle changes to overcome disease, age-related changes and chronic stress.To maximise the potential of GB athletes and support the quest for gold at future World Championships, Summer and Winter Olympic and Paralympic Games, the UK's sports governing bodies and the UK sports governing bodies and research councils have identified the opportunity for engineering and physical science disciplines to support and interact with the sports community during training. Not only will this secure competitive advantage for UK athletes, it will also, of more general application, contribute understanding of the biology of athletic performance to gain insights which will improve the health and wellbeing of the population at large.The vision of ESPRIT is to position UK at the forefront of pervasive sensing in elite sports and promote its wider application in public life-long health, wellbeing and healthcare, whilst also addressing the EPSRC's key criteria for UK science and engineering research. The proposed programme represents a unique synergy of leading UK research in body sensor networks (BSN), biosensor design, sports performance monitoring and equipment design. The provision of ubiquitous and pervasive monitoring of physical, physiological, and biochemical parameters in any environment and without activity restriction and behaviour modification is the primary motivation of BSN research. This has become a reality with the recent advances in sensor design, MEMS integration, and ultra-low power micro-processor and wireless technologies. Since its inception, BSN has advanced very rapidly internationally. The proposing team has already contributed to a range of novel, low cost, miniaturised wireless devices and prototypes for sports and healthcare.

The project aims to create a prototype multi-sensor device, and undertake fundamental enabling research, for the location of underground utilities by combining novel ground penetrating radar, acoustics and low frequency active and passive electromagnetic field (termed quasi-static field) approaches. The multi-sensor device is to employ simultaneously surface-down and in-pipe capabilities in an attempt to achieve the heretofore impossible aim of detecting every utility without local proving excavations. For example, in the case of ground penetrating radar (GPR), which has a severely limited penetration depth in saturated clay soils when deployed traditionally from the surface, locating the GPR transmitter within a deeply-buried pipe (e.g. a sewer) while the receiver is deployed on the surface has the advantage that the signal only needs to travel through the soil one way, thereby overcoming the severe signal attenuation and depth estimation problems of the traditional surface-down technique (which relies on two-way travel through complex surface structures as well as the soil). The quasi-static field solutions employ both the 50Hz leakage current from high voltage cables as well as the earth's electromagnetic field to illuminate the underground infrastructure. The MTU feasibility study showed that these technologies have considerable potential, especially in detecting difficult-to-find pot-ended cables, optical fibre cables, service connections and other shallow, small diameter services. The third essential technology in the multi-sensor device is acoustics, which works best in saturated clays where GPR is traditionally problematic. Acoustic technology can be deployed to locate services that have traditionally been difficult to discern (such as plastic pipes) by feeding a weak acoustic signal into the pipe wall or its contents from a remote location. The combination of these technologies, together with intelligent data fusion that optimises the combined output, in a multi-sensor device is entirely novel and aims to achieve a 100% location success rate without disturbing the ground (heretofore an impossible task and the 'holy grail' internationally).The above technologies are augmented by detailed research into models of signal transmission and attenuation in soils to enable the technologies to be intelligently attuned to different ground conditions, thereby producing a step-change improvement in the results. These findings will be combined with existing shallow surface soil and made ground 3D maps via collaboration with the British Geological Society (BGS) to prove the concept of creating UK-wide geophysical property maps for the different technologies. This would allow the users of the device to make educated choices of the most suitable operating parameters for the specific ground conditions in any location, as well as providing essential parameters for interpretation of the resulting data and removing uncertainties inherent in the locating accuracy of such technologies. Finally, we will also explore knowledge-guided interpretation, using information obtained from integrated utility databases being generated in the DTI(BERR)-funded project VISTA.

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.