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Development of physical workload measuring system based on multi-physiological signals from human-machine interaction

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4 Author(s)
Xunjun Jiao ; Tsinghua University, Beijing 100086, China ; Jing Bai ; Shanguang Chen ; Qijie Li

Physiological signals can be collected, stored, transmitted and processed with the physical workload and physical fatigue evaluation systems in underwater imitating weightlessness and ground application. Physical workload and fatigue are evaluated by extracting the physical workload and fatigue-related physiological parameters and modeling. So that it can provide the design basis for a reasonable man-machine function allocation. The system is modular in design, according to different use, choose a different module. Miniaturization and battery-powered design makes it easy to use underwater and weightless aircraft use; real-time storage and after playback methods was used to deal with underwater radio attenuation due to water. The system can also be used to research mental load and mental fatigue.

Published in:

2012 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS) Proceedings

Date of Conference:

2-4 July 2012