HMM Adaptation for Improving a Human Activity Recognition System

@article{SanSegundoHernndez2016HMMAF,
  title={HMM Adaptation for Improving a Human Activity Recognition System},
  author={Rub{\'e}n San-Segundo-Hern{\'a}ndez and Juan Manuel Montero-Mart{\'i}nez and Jos{\'e} Moreno-Pimentel and Jos{\'e} Manuel Pardo},
  journal={Algorithms},
  year={2016},
  volume={9},
  pages={60}
}
Abstract: When developing a fully automatic system for evaluating motor activities performed by a person, it is necessary to segment and recognize the different activities in order to focus the analysis. This process must be carried out by a Human Activity Recognition (HAR) system. This paper proposes a user adaptation technique for improving a HAR system based on Hidden Markov Models (HMMs). This system segments and recognizes six different physical activities (walking, walking upstairs… CONTINUE READING

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