Abstract

Gait analysis is very significant for early diagnosis of gait diseases and treatment assessment. Gait analysis is used to assess, plan and to treat the individuals with conditions affecting their ability to walk. In recent years, doctors gain more clarity and exact disease assessment by means of machine learning technologies and this has gained much application of gait analysis. The patients suffering from movement disorders such as Parkinson’s disease (PD), Huntington’s disease (HD), and Amyotrophic Lateral Sclerosis (ALS) can best be diagnosed by gait analysis. For these reasons, analysis of the above said diseases are taken into consideration. In this paper we propose an effective method for detection of movement disorders using multi SVM technique.

How to Cite
ATHISAKTHI, DR.M.PUSHPARANI, A.. Detection of Movement Disorders Using Multi SVM. Global Journal of Computer Science and Technology, [S.l.], feb. 2013. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/320>. Date accessed: 27 jan. 2021.