مؤتمر
Segmentation and feature extraction of human gait motion
| العنوان: | Segmentation and feature extraction of human gait motion |
|---|---|
| المؤلفون: | N de Boer, Hamid Abdi, M Fielding, S Nahavandi |
| سنة النشر: | 2017 |
| مصطلحات موضوعية: | Data models, storage and indexing, human gait, simulation, gait analysis, biomechanics, feature extraction, School of Engineering, Centre for Intelligent Systems Research, 090602 Control Systems, Robotics and Automation, 970109 Expanding Knowledge in Engineering, 4007 Control engineering, mechatronics and robotics |
| الوصف: | This paper presents segmentation and feature extraction of human gait motion. The methodology of this paper focuses on segmenting ‘XYZ’ position curves, in reference to time of gait motion based on the velocity or acceleration of the movement. The extracted features include amplitude, time, and equally spaced sample data, maximum and minimum for each segment. The results can be used for reconstruction of a viable dataset that is critical for simulation and validation of human gaits. We propose a method to enables the fitting of the same curve with limited data. Such data sets may prove valuable for studying impairments and improving simulations of rehabilitation tools, and statistical classification for researchers worldwide. |
| نوع الوثيقة: | conference object |
| اللغة: | unknown |
| العلاقة: | http://hdl.handle.net/10536/DRO/DU:30104743Test; https://figshare.com/articles/conference_contribution/Segmentation_and_feature_extraction_of_human_gait_motion/20824687Test |
| الإتاحة: | http://hdl.handle.net/10536/DRO/DU:30104743Test https://figshare.com/articles/conference_contribution/Segmentation_and_feature_extraction_of_human_gait_motion/20824687Test |
| حقوق: | All Rights Reserved |
| رقم الانضمام: | edsbas.C4331132 |
| قاعدة البيانات: | BASE |
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