지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Society for Precision Engineering Journal of the Korean Society for Precision Engineering Journal of the Korean Society for Precision Engineering Vol.41 No.3
- 발행연도
- 2024.3
- 수록면
- 191 - 198 (8page)
- DOI
- 10.7736/JKSPE.023.126
이용수
초록· 키워드
오류제보하기
Estimating energy expenditure is essential in monitoring the intensity of physical activity and health status. Energy expenditure can be estimated based on wearable sensors such as inertial measurement unit (IMU). While a variety of methods have been developed to estimate energy expenditure during day-to-day activities, their performances have not been thoroughly evaluated under walking conditions according to various speeds and inclines. This study investigated IMU-based neural network models for energy expenditure estimation under various walking conditions and comparatively analyzed their performances in terms of sensor attachment locations and training/testing datasets. In this study, two neural network models were selected based on a previous study (Slade et al., 2019): (M1) a multilayer perceptron using sensor signals during each gait cycle, and (M2) a recurrent neural network using sensor signal sequences of a fixed window size. The results revealed the following: (i) the performance of the foot attachment model was the best among the five sensor attachment locations (0.89 W/kg for M1 and 1.14 W/kg for M2); and (ii) although the performance of M1 was superior to that of M2, M1 requires accurate gait detection for data segmentation by each stride, which hinders the usefulness of M2.
목차
1. 서론
2. 방법
3. 결과 및 고찰
4. 결론
REFERENCES
참고문헌 (26)
참고문헌 신청
Osgnach, C., Poser, S., Bernardini, R., Rinaldo, R., Di Prampero, P. E., (2010), Energy cost and metabolic power in elite soccer: A new match analysis approach, Medicine & Science in Sports & Exercise, 42(1), 170-178.
Walker, E. J., McAinch, A. J., Sweeting, A., Aughey, R. J., (2016), Inertial sensors to estimate the energy expenditure of team-sport athletes, Journal of Science and Medicine in Sport, 19(2), 177-181.
Roos, L., Taube, W., Beeler, N., Wyss, T., (2017), Validity of sports watches when estimating energy expenditure during running, BMC Sports Science, Medicine and Rehabilitation, 9(1), 1-8.
Zhang, J., Fiers, P., Witte, K. A., Jackson, R. W., Poggensee, K. L., Atkeson, C. G., Collins, S. H., (2017), Human-in-the-loop optimization of exoskeleton assistance during walking, Science, 356(6344), 1280-1284.
Kang, J., Kim, H., Kim, K., (2022), Whole-body control based strategy simulation of exo-suit considering singularity, Proceedings of the Korean Society for Precision Engineering Spring Conference, 212.
Walker, E. J., McAinch, A. J., Sweeting, A., Aughey, R. J., (2016), Inertial sensors to estimate the energy expenditure of team-sport athletes, Journal of Science and Medicine in Sport, 19(2), 177-181.
Roos, L., Taube, W., Beeler, N., Wyss, T., (2017), Validity of sports watches when estimating energy expenditure during running, BMC Sports Science, Medicine and Rehabilitation, 9(1), 1-8.
Zhang, J., Fiers, P., Witte, K. A., Jackson, R. W., Poggensee, K. L., Atkeson, C. G., Collins, S. H., (2017), Human-in-the-loop optimization of exoskeleton assistance during walking, Science, 356(6344), 1280-1284.
Kang, J., Kim, H., Kim, K., (2022), Whole-body control based strategy simulation of exo-suit considering singularity, Proceedings of the Korean Society for Precision Engineering Spring Conference, 212.
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