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Evaluation of Cognitive Load and Its Relationship with Physical Ability on Walking Support Using Pneumatic Artificial Muscle (PAM) Driver

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Advances in Usability, User Experience, Wearable and Assistive Technology (AHFE 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1217))

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Abstract

In rehabilitation, emotional aspect is one key factor to motivate patients to reach their full recovery. Our previous study developed wireless PAM driver as walking-support device and experimentally evaluated its effectiveness in physical ability, but has not performed evaluation on emotional aspect yet. Therefore, this study experimentally evaluates cognitive load and its relationship with physical ability (i.e. performance and joint motion) on walking support using our PAM driver with variations of walking conditions. We obtained tendency of double-blink rate as rapid serial blinks to evaluate cognitive load during walking. In addition, we obtained correlations between gait velocity and blink rates, indicating that cognitive load was affected by walking speed (performance) more than joint motion (swing support).

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Acknowledgments

This paper is based on results obtained from a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO).

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Correspondence to Tipporn Laohakangvalvit .

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Laohakangvalvit, T., Toda, H., Maruyama, T., Kurita, Y., Tada, M. (2020). Evaluation of Cognitive Load and Its Relationship with Physical Ability on Walking Support Using Pneumatic Artificial Muscle (PAM) Driver. In: Ahram, T., Falcão, C. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1217. Springer, Cham. https://doi.org/10.1007/978-3-030-51828-8_114

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  • DOI: https://doi.org/10.1007/978-3-030-51828-8_114

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-51827-1

  • Online ISBN: 978-3-030-51828-8

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