Human-machine interfaces for detecting, monitoring and managing psychological stress

HUMAN-MACHINE INTERFACES FOR DETECTING, MONITORING AND MANAGING PSYCHOLOGICAL STRESS

DIP Contribution: $150,000

Project Summary: This project seeks to develop Human-Machine Interfaces (HMI) for detection, monitoring and mitigation of stress under differing states of fatigue. Validate technologies that unobtrusively measure underlying physiological and psychological responses to stress.

Defence Relevance: Failing to monitor and prepare personnel for stressful and difficult tasks is a threat to the operational capability of Defence and law enforcement. The near-term outcome will be a proof-of concept for an integrated system for detection, monitoring and mitigation of stress that involves minimally invasive sensors.

Team Lead: The University of Adelaide’s Professor Carolyn Semmler

Collaborating Partners: University of South Australia, Flinders University, ElectroAutoMedics and DST Group.

Status: Ongoing