Presentation
117. Workload Estimation Using Facial Expression Analysis
SessionPoster Session 2
DescriptionExisting techniques to measure workload are ill-suited in austere operational environments found in the military or law enforcement. Novel techniques to approximate workload by analyzing facial expressions during task execution from camera video feeds, positioned to capture the frontal view of crew member faces, is one potential approach to address this gap. Results from data collection are aimed at understanding the degree to which emotional valence and arousal is correlated to workload. A secondary data collection helped understand how perception, attention, and memory affect the correlation of emotional arousal and valence to workload. This research acquired knowledge that could eventually be applied to algorithms for task switching or to any future human subject study (virtual or field) with an objective to improve manned and unmanned teams.
Event Type
Poster
TimeThursday, September 12th5:30pm - 6:30pm MST
LocationMcArthur Ballroom
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