Recognizing Gait Pattern of Parkinson's Disease Patients Based on Fine-Grained Movement Function Features

@article{Wang2015RecognizingGP,
  title={Recognizing Gait Pattern of Parkinson's Disease Patients Based on Fine-Grained Movement Function Features},
  author={Tianben Wang and Daqing Zhang and Zhu Wang and Jiangbo Jia and Hongbo Ni and Xingshe Zhou},
  journal={2015 IEEE 12th Intl Conf on Ubiquitous Intelligence and Computing and 2015 IEEE 12th Intl Conf on Autonomic and Trusted Computing and 2015 IEEE 15th Intl Conf on Scalable Computing and Communications and Its Associated Workshops (UIC-ATC-ScalCom)},
  year={2015},
  pages={1-10}
}
Parkinson's Disease (PD) is one of the typical movement disorder diseases, which has a serious impact on the daily lives of elderly people. In this paper, we propose a novel framework for PD gait pattern recognition. The key idea of our approach is to distinguish PD gait patterns from healthy individuals by accurately extracting gait features that indicate three aspects of movement function, i.e., Stability, symmetry and harmony. Concretely, our framework contains three steps: gait phase… CONTINUE READING

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