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A Standing Assistance Scheme Using a Patient’s Physical Strength by a Load Estimation Considering the Muscle Arrangements of a Human Leg

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 383))

Abstract

In this paper, we propose a standing assistance scheme that uses a patient’s own physical strength, as evaluated by physical activity estimates. In general, conventional assistive robots do not require patients to use their own physical strength to stand, which leads to decreased strength in the elderly. Therefore, an assistive robot that allows a patient to maximally use their remaining physical strength is desired. Assistive robots can achieve this objective by estimating the physical activity of a patient when they stand. Therefore, the activity estimate proposed here is based on a human musculoskeletal model of a lower limb, which exhibits a biarticular muscle function. The patient generates a natural standing motion using the biarticular muscle function, and the proposed model enables the assistive robot to estimate the patient’s physical activity without using biosensors such as electromyographs. Using the proposed estimated results, our prototype assistive robot can assist elderly patients to use their remaining physical strength maximally by selecting a suitable assistive control method.

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Acknowledgments

This research is supported in part by Grant-in-Aid for Scientific Research C (25350693) from the Japan Society for the Promotion of Science (JSPS).

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Correspondence to Daisuke Chugo .

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Chugo, D., Muramatsu, S., Yokota, S., Hashimoto, H. (2016). A Standing Assistance Scheme Using a Patient’s Physical Strength by a Load Estimation Considering the Muscle Arrangements of a Human Leg. In: Filipe, J., Madani, K., Gusikhin, O., Sasiadek, J. (eds) Informatics in Control, Automation and Robotics 12th International Conference, ICINCO 2015 Colmar, France, July 21-23, 2015 Revised Selected Papers. Lecture Notes in Electrical Engineering, vol 383. Springer, Cham. https://doi.org/10.1007/978-3-319-31898-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-31898-1_8

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