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bioRxiv · 10.1101/2021.05.07.443181

The Impact of Control Interface on Features of Heart Rate Variability

Nejati Javaremi, M.·Wu, D.·Argall, B.
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Abstract

AO_SCPLOWBSTRACTC_SCPLOWShared human-robot control for assistive machines can improve the independence of individuals with motor impairments. Monitoring elevated levels of workload can enable the assistive autonomy to adjust the control-sharing in an assist-as-needed way, to achieve a balance between user fatigue, stress and independent control. In this work, we aim to investigate how heart-rate variability features can be utilized to monitor elevated levels of mental workload while operating a powered wheelchair, and how that utilization might vary under different control interfaces. To that end, we conducted a 22 person study with three commercial interfaces. Our results show that the validity and reliability of using the ultra-short-term heart-rate variability features as predictors for workload indeed are affected by the type of interface in use.

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Nejati Javaremi, M., Wu, D., Argall, B.. 2021-05-09. The Impact of Control Interface on Features of Heart Rate Variability. https://doi.org/10.1101/2021.05.07.443181

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