Output details

Leveraging knowledge from physiological data: On-body heat stress risk prediction with sensor networks

The research resulted from £49,125 DTA NP Aerospace grant (DTA06/2006). It was the first to establish that risk of uncompensable heat stress (UHS) in humans can be modelled and reliably predicted on-body, in real-time, using wearable sensors. The model associated data acquisition and processing systems were successfully demonstrated in experimental trials with operatives wearing heavy protective clothing in hot environments. The theoretical approach is generically applicable to UHS prediction in other scenarios and represents a breakthrough in enhancing operatives’ safety in harsh environments. The results are exploited in current work on increasing de-mining safety (Mark Oldroyd, EOD Product Manager, moldroyd@np-aerospace.co.uk).