Performance Analysis of Handwriting Kinematics in Parkinson’s Disease

Abstract

Parkinson’s Disease is degenerative nerve disease which commonly found in aged people. The illness can put a lot of pressure on the body and make certain people more sensitive to infections that can be fatal. Parkinson's disease also has no cure at the moment. As a result, it is critical to discover Parkinson disease early in life in order to receive therapy. Using various machine learning and deep learning methodologies, we can anticipate Parkinson's disease. Speech, smell, stride, and handwriting are all involved. Traditional detection measures, such as smell and speech, can, however, be more difficult. For Parkinson disease identification, handwriting is a more efficient and time-consuming. An objective of this subject was to look back on progress of handwriting kinematic analysis in Parkinson's disease and to see how it has changed.