Activity recognition and intensity estimation in youth from accelerometer data aided by machine learning

@article{Ren2016ActivityRA,
  title={Activity recognition and intensity estimation in youth from accelerometer data aided by machine learning},
  author={Xiang Ren and Wei Ding and Scott E. Crouter and Yang Mu and Rong Xie},
  journal={Applied Intelligence},
  year={2016},
  volume={45},
  pages={512-529}
}
Physical activity monitoring for youth is an area of increasing scientific and public health interest due to the high prevalence of obesity and downward trend in physical activity. However, accurate assessment of such activity remains a challenging problem because of the complex nature in which certain activities are performed. In this study, we formulated the issue as a machine learning problem—using a diverse set of 19 physical activities commonly performed by youth—via two approaches… CONTINUE READING

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