Movement symmetry assessment by bilateral motion data fusion

• المؤلفون الرئيسيون: Ren, Peng, Hu, Shiang, Han, Zhenfeng, Wang, Qing, Yao, Shuxia, Gao, Zhao, Jin, Jiangming, Bringas, Maria L., Yao, Dezhong, Biswal, Bharat, Valdes-Sosa, Pedro A.
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2020
• الموضوعات: Engineering::Computer science and engineering; Data Integration; Standards
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/145337
• المؤسسة: Nanyang Technological University

Objective: A new approach, named bilateral motion data fusion, was proposed for the analysis of movement symmetry, which takes advantage of cross-information between both sides of the body and processes the unilateral motion data at the same time. Methods: This was accomplished using canonical corre...