Real-time detection of workload changes using heart rate variability |
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| Authors: | Adam Hoover Anirud Singh Stephanie Fishel-Brown Eric Muth |
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| Institution: | 1. Electrical and Computer Engineering Department, Clemson University, Clemson, SC 29634-0915, United States;2. Department of Psychology, Clemson University, Clemson, SC 29634-0915, United States |
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| Abstract: | This work presents a novel approach to detecting real-time changes in workload using heart rate variability (HRV). We propose that for a given workload state, the values of HRV vary in a sub-range of a Gaussian distribution. We describe methods to monitor a HRV signal in real-time for change points based upon sub-Gaussian fitting. We tested our method on subjects sitting at a computer performing a low workload surveillance task and a high workload video game task. The proposed algorithm showed superior performance compared to the classic CUSUM method for detecting task changes. |
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