Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals

@article{Vanrell2018AssessmentOH,
  title={Assessment of Homomorphic Analysis for Human Activity Recognition From Acceleration Signals},
  author={Sebasti{\'a}n R. Vanrell and Diego H. Milone and Hugo Leonardo Rufiner},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2018},
  volume={22},
  pages={1001-1010}
}
Unobtrusive activity monitoring can provide valuable information for medical and sports applications. In recent years, human activity recognition has moved to wearable sensors to deal with unconstrained scenarios. Accelerometers are the preferred sensors due to their simplicity and availability. Previous studies have examined several classic techniques for extracting features from acceleration signals, including time-domain, time-frequency, frequency-domain, and other heuristic features… CONTINUE READING

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