Title: Fatigue monitoring and prediction in Rail applications (FRAIL)
Description: The effect of fatigue on human performance has been observed to be an important factor in many industrial accidents. However, defining and measuring fatigue is not easily accomplished. The objective of this project is to test the most relevant alternative mobile wearable and non-wearable unobtrusive technologies to monitor fatigue in three different working environments in Irish Rail (e.g. considering train driving, signaling and maintenance tasks) and to develop a protocol to combine biosensor and or mobile performance data acquisition (e.g. mobile version of the Psychomotor Vigilance Task, unobtrusive eye tracking devices, wearable HRV measurement devices, physical activity monitoring, mobile EEG etc.) related to fatigue assessment with self-reported journal/self-assessment data to help operator and organizations to monitor levels of fatigue experienced. The project will ultimately deliver a proposal for a user-friendly tool for monitoring fatigue to assist with continuous improvement in the area of Fatigue Risk Management.