Design & evaluation of a sensor minimal gait phase and situation detection Algorithm of Human Walking
Schuy J, Mielke T, Steinhausen M, Rinderknecht S, Beckerle P (2015)
Publication Type: Conference contribution
Publication year: 2015
Publisher: IEEE Computer Society
Book Volume: 2015-December
Pages Range: 20-25
Conference Proceedings Title: IEEE-RAS International Conference on Humanoid Robots
Event location: Seoul
ISBN: 9781479968855
DOI: 10.1109/HUMANOIDS.2015.7363517
Abstract
This paper presents the design and evaluation of gait detection algorithm based on one IMU placed on the shank. The algorithm is based on adaptive thresholds by artificial neural network and fuzzy logic to identify gait phase and situation for real-time applications like micro-processed prosthesis. Offline evaluation with fifteen able-bodied subjects and two transtibial amputees shows high detection rates of 98 % for distinguishing stance from swing phase as well as 93.6 % between straight and turning gait situation with global parameters.
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Germany (DE)How to cite
APA:
Schuy, J., Mielke, T., Steinhausen, M., Rinderknecht, S., & Beckerle, P. (2015). Design & evaluation of a sensor minimal gait phase and situation detection Algorithm of Human Walking. In IEEE-RAS International Conference on Humanoid Robots (pp. 20-25). Seoul, KR: IEEE Computer Society.
MLA:
Schuy, J., et al. "Design & evaluation of a sensor minimal gait phase and situation detection Algorithm of Human Walking." Proceedings of the 15th IEEE RAS International Conference on Humanoid Robots, Humanoids 2015, Seoul IEEE Computer Society, 2015. 20-25.
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