eWASP had two central themes of investigation: could the analysis of Heart Rate Variability (HRV) be used to indicate catastrophic failures of human performance and give an indication of user stress levels? And, can this general stress assessment be used to drive an adaptive, dynamic display system.
Consortium members included a PhD student in Sport and Exercise Science at Aberystwyth University, Airbus Group Innovations, who brought their expertise in data and information fusion, and Sequence, a creative digital agency and SME based in Cardiff Bay.
Using experimental data gathered by Aberystwyth University, custom algorithms were developed to automatically analyse heart rate signals to determine their performance levels. These were then deployed on Airbus Group Innovations’ Body Worn Development Platform, to enable near real time data analysis which could be combined with other data, such as user activities and location, for sharing with a wider command and control system. This could then be visualised within a User Interface developed by Sequence, allowing the user to understand more about the status of the people wearing the systems.
A specific use case was developed in partnership with Dorset Fire and Rescue Service (FRS), to create a modern technological alternative to the ‘Entry Control Board’ used by fire crews when responding to an incident. Firefighters equipped with our system could have their information transmitted to a central server and be visualised within the user interface, allowing a commander to understand critical factors concerning the safety of their users. Field trials took place in September 2015 at Dorset FRS’ West Moors Training Centre, where systems were worn in a live fire environment.