  This paper reviews related work and state-of-the-art publications for
recognizing motor symptoms of Parkinson's Disease (PD). It presents research
efforts that were undertaken to inform on how well traditional machine learning
algorithms can handle this task. In particular, four PD related motor symptoms
are highlighted (i.e. tremor, bradykinesia, freezing of gait and dyskinesia)
and their details summarized. Thus the primary objective of this research is to
provide a literary foundation for development and improvement of algorithms for
detecting PD related motor symptoms.
