期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2010
卷号：2
期号：1
出版社：International Center for Scientific Research and Studies
摘要：This paper presents a novel method for stance and swing phase detection employing Learning Vector Quantization (LVQ), using knee angle information only. The results show detection accuracy of 95.9% in stance phase and 83.9% in swing phase. The research concludes an efficient replacement of footswitch for phase detection. The work can directly lead to low cost speed adaptive transtibial prosthesis where the knee angle measurement can be used to decide the damping in the prosthesis
