Activity classification using realistic data from wearable sensors

@article{Prkk2006ActivityCU,
  title={Activity classification using realistic data from wearable sensors},
  author={Juha P{\"a}rkk{\"a} and Miikka Ermes and Panu Korpip{\"a}{\"a} and Jani M{\"a}ntyj{\"a}rvi and Johannes Peltola and Ilkka Korhonen},
  journal={IEEE Transactions on Information Technology in Biomedicine},
  year={2006},
  volume={10},
  pages={119-128}
}
Automatic classification of everyday activities can be used for promotion of health-enhancing physical activities and a healthier lifestyle. In this paper, methods used for classification of everyday activities like walking, running, and cycling are described. The aim of the study was to find out how to recognize activities, which sensors are useful and what kind of signal processing and classification is required. A large and realistic data library of sensor data was collected. Sixteen test… CONTINUE READING
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