Abstract
Despite being able to derive quantitative data on motor performance, rehabilitation robots typically do not provide information on users’ subjective experience, and in particular on their psychophysiological state. The aim of this work was the development of a method for the psychophysiological assessment of users whose treadmill walking is assisted by a lower limb exoskeleton. Four indicators were estimated based on physiological data by using a Fuzzy logic approach. The assessment of human-exoskeleton interaction was performed on a group of four healthy participants and the correlation between different pairs of indicators was evaluated.
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CITATION STYLE
Pecoraro, I., Tagliamonte, N. L., Tamantini, C., Cordella, F., Bentivoglio, F., Pisotta, I., … Zollo, L. (2022). Psychophysiological Assessment of Exoskeleton-Assisted Treadmill Walking. In Biosystems and Biorobotics (Vol. 28, pp. 201–205). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-70316-5_33
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