Personalized Multilayer Daily Life Profiling Through Context Enabled Activity Classification and Motion Reconstruction: An Integrated System Approach

@article{Xu2016PersonalizedMD,
  title={Personalized Multilayer Daily Life Profiling Through Context Enabled Activity Classification and Motion Reconstruction: An Integrated System Approach},
  author={James Y. Xu and Yan Wang and Mick Barrett and Bruce H. Dobkin and Gregory J. Pottie and William J. Kaiser},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2016},
  volume={20},
  pages={177-188}
}
Profiling the daily activity of a physically disabled person in the community would enable healthcare professionals to monitor the type, quantity, and quality of their patients' compliance with recommendations for exercise, fitness, and practice of skilled movements, as well as enable feedback about performance in real-world situations. Based on our early research in in-community activity profiling, we present in this paper an end-to-end system capable of reporting a patient's daily activity at… 

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