Konomi Inaba
ABSTRACT
Gait analysis is an important issue in various fields. In this paper, we developed a shoe-type device to measure the foot pressure when walking. Our device measures the deformation of the sole when pressure is applied and is detected by sensors embedded in the sole. As pressure is not applied directly onto the sensors, the system has better durability and a wider dynamic range. We then proposed a method to estimate the center of pressure (CoP), obtaining an average coefficient of determination of 0.69. Our device also identifies gait patterns by obtaining the discrimination rate of 9 types of walking methods, averaging to an accuracy of 88%.
- Arash Arami, Noémie Saint Raymond, and Kamiar Aminian. 2017. An Accurate Wearable Foot Clearance Estimation System: Toward a Real-Time Measurement System. IEEE Sensors Journal, 17(8), 2542--2549.Google Scholar
Cross Ref
- Diego Alvarez, Rafael C. Gonzalez, Antonio Lopez, and Juan C. Alvarez. 2006. Comparison of Step Length Estimators from Wearable Accelerometer Devices. In Proceedings of the 28th Annual International Conference on IEEE Engineering in Medicine and Biology Society (EMBS'06). 5964--5967.Google Scholar
- Stacy J. Morris Bamberg, Ari Y. Benbasat, Donna Moxley Scarborough, David E. Krebs, Joseph A. Paradiso. 2008. Gait Analysis Using a Shoe-Integrated Wireless Sensor System. IEEE Transactions on Information Technology in Biomedicine, 12(4), 413--423. Google ScholarDigital Library
- Rui Fukui, Shunsuke Okishiba, Hiroyuki Karasawa, and Shinichi Warisawa. 2017. Dynamic Hand Motion Recognition Based on Wrist Contour Measurement for a Wearable Display. JSME annual Conference on Robotics and Mechatronics. (in Japanese)Google Scholar
- Suzanne E. Halliday, David A. Winter, James S. Frank, Aftab E. Patla, and Francois Prince. 1998. The initiation of gait in young, elderly, and Parkinson's disease subjects. GAIT&POSTURE, 8(1), 8--14.Google Scholar
- Riasat Islam, Simon Holland, Theodoros Georgiou, Bline Price, and Paul Mulholland. 2018. Wearable Haptic Devices for Long-Term Gait Re-education for Neurological Conditions. Haptic Technologies for Healthcare, EuroHaptics 2018, 13--16.Google Scholar
- Lori A. Karol, M. Cecilia Concha, and Charles E. Johnston. 1997. Gait Analysis and Muscle Strength in Children with Surgically Treated Clubfeet. Journal of Pediatric Orthopaedics, 7(6), 790--795.Google ScholarCross Ref
- S.J Morris, and J.A Paradiso. 2002. Shoe-integrated sensor system for wireless gait analysis and real-time feedback. In Proceedings of the 2nd Joint IEEE Engineering in Medicine and Biology Society (EMBS) and the Biomedical Engineering Society (BMES). 2468--2469.Google ScholarCross Ref
- Alice Nieuwboer, Rene Dom, Willy De Weerdt, Kaat Desloovere, Steffen Fieuws, and Eva Broens-Kaucsik. 2001. Abnormalities of the Spatiotemporal Characteristics of Gait at the Onset of Freezing in Parkinson's Disease. Movement Disorders, 16(6), 1066--1075.Google ScholarCross Ref
- Masa Ogata, Yuta Sugiura, Yasutoshi Makino, Masahiko Inami, and Michita Imai. 2013. SenSkin: adapting skin as a soft interface. In Proceedings of the 26th annual ACM symposium on User interface software and technology (UIST'13). ACM, 539--544. Google ScholarDigital Library
- H. Martin Schepers, H. F. J. M. Koopman, and Peter H. Veltink. 2007. Ambulatory Assessment of Ankle and Foot Dynamics. IEEE Transactions on Biomedical Engineering, 54(5), 895--902.Google ScholarCross Ref
- Peter H. Veltink, C. Liedtke, E. Droog, and H. van der Kooij. 2005. Ambulatory Measurement of Ground Reaction Forces. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 13(3), 423--427.Google ScholarCross Ref
- Junji Watanabe, Hideyuki Ando, and Taro Maeda. 2005. Shoe-shaped Interface for Inducing a Walking Cycle. In Proceedings of the 2005 international conference on Augmented tele-existence(ICAT'05). ACM, 30--34. Google ScholarDigital Library
Index Terms
- Center of pressure estimation and gait pattern recognition using shoes with photo-reflective sensors
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