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Analysis of Relationship between Natural Standing Behavior of Elderly People and a Class of Standing Aids in a Living Space

1
Department of Systems and Control Engineering, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8552, Japan
2
Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, 2-3-26, Aomi, Koto-ku, Tokyo 135-0064, Japan
3
Department of Mechanical Engineering, Tokyo Institute of Technology, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8552, Japan
*
Author to whom correspondence should be addressed.
Academic Editor: Alessandro Bevilacqua
Sensors 2022, 22(3), 1178; https://doi.org/10.3390/s22031178
Received: 9 November 2021 / Revised: 13 January 2022 / Accepted: 2 February 2022 / Published: 4 February 2022
(This article belongs to the Section Biomedical Sensors)
As the world’s population ages, technology-based support for the elderly is becoming increasingly important. This study analyzes the relationship between natural standing behavior measured in a living space of elderly people and the classes of standing aids, as well as the physical and cognitive abilities contributing to household fall injury prevention. In total, 24 elderly standing behaviors from chairs, sofas, and nursing beds recorded in an RGB-D elderly behavior library were analyzed. The differences in standing behavior were analyzed by focusing on intrinsic and common standing aid characteristics among various seat types, including armrests of chairs or sofas and nursing bed handrails. The standing behaviors were categorized into two types: behaviors while leaning the trunk forward without using an armrest as a standing aid and those without leaning the trunk forward by using an arrest or handrail as a standing aid. The standing behavior clusters were distributed in a two-dimensional map based on the seat type rather than the physical or cognitive abilities. Therefore, to reduce the risk of falling, it would be necessary to implement a seat type that the elderly can unconsciously and naturally use as a standing aid even with impaired physical and cognitive abilities. View Full-Text
Keywords: elderly behavior library; RGB-D camera; elderly standing behavior; safer environment elderly behavior library; RGB-D camera; elderly standing behavior; safer environment
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MDPI and ACS Style

Miyazaki, Y.; Hirano, K.; Kitamura, K.; Nishida, Y. Analysis of Relationship between Natural Standing Behavior of Elderly People and a Class of Standing Aids in a Living Space. Sensors 2022, 22, 1178. https://doi.org/10.3390/s22031178

AMA Style

Miyazaki Y, Hirano K, Kitamura K, Nishida Y. Analysis of Relationship between Natural Standing Behavior of Elderly People and a Class of Standing Aids in a Living Space. Sensors. 2022; 22(3):1178. https://doi.org/10.3390/s22031178

Chicago/Turabian Style

Miyazaki, Yusuke, Kei Hirano, Koji Kitamura, and Yoshifumi Nishida. 2022. "Analysis of Relationship between Natural Standing Behavior of Elderly People and a Class of Standing Aids in a Living Space" Sensors 22, no. 3: 1178. https://doi.org/10.3390/s22031178

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