TY - GEN
T1 - Evaluation of cognitive load and its relationship with physical ability on walking support using pneumatic artificial muscle (pam) driver
AU - Laohakangvalvit, Tipporn
AU - Toda, Haruki
AU - Maruyama, Tsubasa
AU - Kurita, Yuichi
AU - Tada, Mitsunori
N1 - Funding Information:
This paper is based on results obtained from a project commissioned by the New Energy and Industrial Technology Development Organization (NEDO).
Publisher Copyright:
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - 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).
AB - 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).
KW - Cognitive load
KW - Electrooculography (EOG)
KW - Inertial Measurement Unit (IMU)
KW - Pneumatic artificial muscle
KW - Rehabilitation
KW - Walking support
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U2 - 10.1007/978-3-030-51828-8_114
DO - 10.1007/978-3-030-51828-8_114
M3 - Conference contribution
AN - SCOPUS:85088742287
SN - 9783030518271
T3 - Advances in Intelligent Systems and Computing
SP - 860
EP - 867
BT - Advances in Usability, User Experience, Wearable and Assistive Technology - Proceedings of the AHFE 2020 Virtual Conferences on Usability and User Experience, Human Factors and Assistive Technology, Human Factors and Wearable Technologies, and Virtual Environments and Game Design
A2 - Ahram, Tareq
A2 - Falcão, Christianne
PB - Springer
T2 - AHFE Virtual Conference on Usability and User Experience, the Virtual Conference on Human Factors and Assistive Technology, the Virtual Conference on Human Factors and Wearable Technologies, and the Virtual Conference on Virtual Environments and Game Design, 2020
Y2 - 16 July 2020 through 20 July 2020
ER -