Non-Contact Human Workload Assessment for Adaptive Intelligent Systems
2022 17th Annual System of Systems Engineering Conference (SOSE)(2022)
摘要
Heart rate and heart rate variability are important sensor modalities for estimating workload. Estimating workload with contact-based physiological sensors has been researched, however there is a need to estimate workload using non-contact physiological sensors with camera advancements. This study offers a novel approach to this research statement with a comparison between contact and non-contact sensors for workload estimation. Hybrid deep learning architecture has been developed based on data from the Bio-Harness as a contact sensor and data from the VPG as a non-contact sensor. This research can be extended to a variety of applications for adaptive intelligent systems that rely on human-state information. Reliable non-contact monitoring support seamless operations uninhibited by wearable sensors attached to the body.
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关键词
human-robotic interaction,human state assessment,vision-based physiological measurements
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