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한국생산제조학회 학술지 영문 홈페이지
[ Article ]
Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 32, No. 2, pp.63-71
ISSN: 2508-5107 (Online)
Print publication date 15 Apr 2023
Received 07 Feb 2023 Revised 21 Feb 2023 Accepted 23 Feb 2023
DOI: https://doi.org/10.7735/ksmte.2023.32.2.63

3D 프린팅으로 제작한 스트레인게이지를 이용한 어깨 모션 인식 시스템 개발

조근식a, † ; 기범근a, † ; 권병수b ; 박용재a, b, *
Shoulder Motion Recognition System using 3D-printed Strain Gauges
Geun Sik Choa, † ; Beom-Geun Kia, † ; Byeong Su Kwonb ; Yong-Jai Parka, b, *
aDepartment of Smart Health Science and Technology, Kangwon National University
bDepartment of Mechatronics Engineering, Kangwon National University

Correspondence to: *Tel.: +82-33-250-6371 E-mail address: yjpark@kangwon.ac.kr (Yong-Jai Park). Contributed by footnote: †These authors equally contributed to this work.

Abstract

Maintaining good health is a top priority for many people, particularly active seniors with a variety of physical activities. The shoulder is a complex joint that is particularly susceptible to injury, but it plays a crucial role in many physical activities. This study aimed to measure using a strain gauge manufactured by a 3D printer to detect shoulder motion. The sensor was fabricated using carbon nanotube (CNT) and nylon conductive filaments, and TPU filaments. The sensor in this paper was manufactured by printing three conductive lines on the main body printed with TPU. The manufactured sensor was attached to the shoulder to measure the motion of the shoulder. In this paper, we confirmed the possibility of detecting shoulder movement of sensors through experiments measuring three shoulder motions.

Keywords:

3D printing, Strain gauge, Shoulder motion, Motion recognition, Resistance type sensor

Acknowledgments

This work was supported by the Industrial Strategic Technology Development Program) (20018270, Development of a gripper system for product variety to grasp unspecified objects of various shapes, weights and strengths) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea), by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(2020R1I1A3073575), and by “Regional Innovation Strategy (RIS)” through the National Research Foundation of Korea(NRF) funded by the Ministry of Education(MOE) (2022RIS-005).

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Geun Sik Cho

Ph.D. Candidate in the Department of Smart Health Science and Technology, Kangwon National University. His research interest is Soft Robots and Soft Sensor Technology.

E-mail: geunsik1124@kangwon.ac.kr

Beom-Geun Ki

Master's Course Student in the Department of Smart Health Science and Technology, Kangwon National University. His research interest is Soft Robots and 3D Printing Technology.

E-mail: sjr02060@kangwon.ac.kr

Byeong Su Kwon

Master's Course Student in the Department of Mechatronics Engineering, Kangwon National University. His research interest is Wearable Devices for Rehabilitation and Physical Assistance.

E-mail: kbsbyungsu@kangwon.ac.kr

Yong-Jai Park

Associate Professor in the Department of Smart Health Science and Technology, Kangwon National University. His research interest is Soft Robots and Mechanism Design.

E-mail: yjpark@kangwon.ac.kr