Power Assist Control Based on Learning Database of Joint Angle of Powered Exoskeleton Suitable for Wearer’s Posture

Sahashi, Katsuya; Murai, Shunji; Takahashi, Yasutake

doi:10.1007/978-3-319-92052-8_27

Cited by 1 publication

(1 citation statement)

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“…Sweat and heat emitted from the wearer can make it difficult to control an SWR properly (e.g. via its sensors) (Sahashi et al, 2018) and limit lengthy uses in daily life. Because elderly adults have less thermal control ability than younger groups do (Choi, 2002), these functions could be added during the development of SWRs.…”

Section: Market Research Resultsmentioning

confidence: 99%

Development of gait assistive clothing-typed soft wearable robot for elderly adults

Koo

Lee

Kim

et al. 2020

IJCST

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PurposeThe purpose of this research was to develop clothing-typed soft wearable robot embedded with textile-based actuators on ankles for elderly adults needing gait assistance.Design/methodology/approachDesign guidelines were developed and they included function (type, targeting area, routing line and anchor points), design (size/fit, fabric/material, fastener, detail, color) and actuator (shape memory alloy type, size, deformation type, integration material, integration technique and evaluation method). Fabric-based actuator, integration methods to fabrics, routing lines and anchoring points were developed based on the guidelines and evaluated. Then, three long socks types and a pants type were designed and prototyped. Routing line position displacement measurement test was conducted with the prototypes. A survey was conducted to investigate satisfaction, likeness and use intention on the design/prototype to modify the designs.FindingsImportant design factors were identified, and design guidelines for clothing-typed soft wearable robots (SWRs) were developed. People satisfied the developed SWR designs and prototypes with mean scores over 4.60.Originality/valueThe results are expected to be helpful for designers and developers of SWRs in the development process, and they will ultimately be beneficial to members of the elderly population who have gait difficulties.

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Section: Market Research Resultsmentioning

confidence: 99%