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.
이용수
초록· 키워드
오류제보하기
Objective: The purpose of this study was to optimize the number and positions of foot pressure sensors using the reliability analysis of the center of pressure (COP) in smart shoes.
Background: Foot pressure can be different according to foot region, and it is important which region of the foot pressure needs to be measured.
Method: Thirty adults (age: 20.5±1.8 years, body weight: 71.4±6.5kg, height: 1.76±0.04m) participated in this study. The foot pressure data were collected using the insole of Pedar-X system (Novel GmbH, USA) with a sampling frequency of 100Hz during 1.3m/s speed walking on the treadmill (Instrumented treadmill, Bertec, USA). The intraclass correlation coefficients (ICC) were calculated between the COP positions using 4, 5, 6, 7, 8, and 99 sensors, while one-way repeated measure ANOVA was performed between the standard deviation (SD) of the COP positions.
Results: The medio-lateral (M/L) COP position using 99 sensors was positively correlated with the M/L COP positions using 6, 7, and 8 sensors; however, it was not correlated with the M/L COP positions using 4 and 5 sensors during landing phase (1~4%) (p <.05). The antero-posterior (A/P) COP position using 99 sensors was positively correlated with the A/P COP positions using 4, 5, 6, 7, and 8 sensors (p <.05). The SD of the COP position using 99 sensors was smaller than the SD of the M/L COP positions using 4, 5, 6, 7, and 8 sensors (p <.05).
Conclusion: Based on our findings, it is desirable to arrange at least 6 sensors in smart shoes.
Application: The study of optimizing the number and positions of foot pressure sensors would contribute to developing more effective smart shoes using foot pressure technology.
Background: Foot pressure can be different according to foot region, and it is important which region of the foot pressure needs to be measured.
Method: Thirty adults (age: 20.5±1.8 years, body weight: 71.4±6.5kg, height: 1.76±0.04m) participated in this study. The foot pressure data were collected using the insole of Pedar-X system (Novel GmbH, USA) with a sampling frequency of 100Hz during 1.3m/s speed walking on the treadmill (Instrumented treadmill, Bertec, USA). The intraclass correlation coefficients (ICC) were calculated between the COP positions using 4, 5, 6, 7, 8, and 99 sensors, while one-way repeated measure ANOVA was performed between the standard deviation (SD) of the COP positions.
Results: The medio-lateral (M/L) COP position using 99 sensors was positively correlated with the M/L COP positions using 6, 7, and 8 sensors; however, it was not correlated with the M/L COP positions using 4 and 5 sensors during landing phase (1~4%) (p <.05). The antero-posterior (A/P) COP position using 99 sensors was positively correlated with the A/P COP positions using 4, 5, 6, 7, and 8 sensors (p <.05). The SD of the COP position using 99 sensors was smaller than the SD of the M/L COP positions using 4, 5, 6, 7, and 8 sensors (p <.05).
Conclusion: Based on our findings, it is desirable to arrange at least 6 sensors in smart shoes.
Application: The study of optimizing the number and positions of foot pressure sensors would contribute to developing more effective smart shoes using foot pressure technology.
목차
1. Introduction
2. Method
3. Results
4. Discussion
5. Conclusion
References
참고문헌 (19)
참고문헌 신청
Bamberg, S., Benbasat, A.Y., Scarborough, D.M., Krebs, D.E. and Paradiso, J.A., Gait analysis using a shoe-integrated wireless sensor system. IEEE Transactions on Information Technology in Biomedicine, 12(4), 413-423, 2008.
Davis, T.K., The foot length to stature ratio: A study of racial variance. Master thesis of Texas Tech University, 1990.
Dogan, A., Uslu, M., Aydinlioglu, A., Harman, M. and Akpinar, F., Morphometric study of the human metatarsals and phalanges. Clinical Anatomy, 20, 209-214, 2007.
Doke, J., Donelan, J.M. and Kuo, A.D., Mechanics and energetics of swinging the human leg. The Journal of Experimental Biology, 208, 439-445, 2004.
Hessert, M.J., Vyas, M., Leach, J., Hu, K., Lipsitz, L.A. and Novak, V., Foot pressure distribution during walking in young and old adults. BMC Geriatrics, 5(8), 2005.
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