Analysis of human behavior recognition algorithms based on acceleration data

@article{Bruno2013AnalysisOH,
  title={Analysis of human behavior recognition algorithms based on acceleration data},
  author={Barbara Bruno and Fulvio Mastrogiovanni and Antonio Sgorbissa and Tullio Vernazza and Renato Zaccaria},
  journal={2013 IEEE International Conference on Robotics and Automation},
  year={2013},
  pages={1602-1607}
}
The automatic assessment of the level of independence of a person, based on the recognition of a set of Activities of Daily Living, is among the most challenging research fields in Ambient Intelligence. The article proposes a framework for the recognition of motion primitives, relying on Gaussian Mixture Modeling and Gaussian Mixture Regression for the creation of activity models. A recognition procedure based on Dynamic Time Warping and Mahalanobis distance is found to: (i) ensure good… CONTINUE READING

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