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논문 기본 정보

자료유형
학술대회자료
저자정보
Sang Hyun Lee (Korea Polytechnic University) Su Hong Eom (Korea Polytechnic University) Mun-Seok Jang (DONG-EUI INSTITUTE OF TECHNOLOGY) Eung Hyuk Lee (Korea Polytechnic University)
저널정보
한국재활복지공학회 한국재활복지공학회 학술대회 논문집 2018 한국재활복지공학회 정기학술대회
발행연도
2018.11
수록면
101 - 104 (4page)

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초록· 키워드

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Transfemoral prosthesis is an assistive device that enables gait of below-knee amputees. Transfemoral prosthesis are largely divided into active powered and passive types depending on the control method. Currently, active powered transfemoral prosthesis support various gait environments by improving the disadvantages of transfemoral prosthesis. Active powered transfemoral prosthesis estimate the gait environment and conditions through the acquired gait information by measuring the motion state of the knee joint through inertia sensors and the ground reaction force through a load cell. However, these advanced active powered transfemoral prosthesis still have functional limitations in reacting to dangerous situations. Therefore, this study classifies collision types using inertia sensors which arc effective for estimating the motion and impulse among the sensors mounted in existing active powered transfemoral prosthesis, which can be used in prosthetic systems. Furthermore, to change the response method depending on the impulse, the dangerous situations in the event of a collision were classified through an extended support vector machine (SVM). Experiments were conducted with 5 persons of 70 ㎏ and 10 persons of 80 ㎏, and the dangerous situations were classified in accordance with each collision type.

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Abstract
1. Introduction
2, Main text
3. Implementation abd Experiment
4. Conclusion
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UCI(KEPA) : I410-ECN-0101-2019-512-000183497