The MobiFall Dataset: Fall Detection and Classification with a Smartphone

@article{Vavoulas2014TheMD,
  title={The MobiFall Dataset: Fall Detection and Classification with a Smartphone},
  author={George Vavoulas and Matthew Pediaditis and Charikleia Chatzaki and Emmanouil G Spanakis and Manolis Tsiknakis},
  journal={IJMSTR},
  year={2014},
  volume={2},
  pages={44-56}
}
Fall detection is receiving significant attention in the field of preventive medicine, wellness management and assisted living, especially for the elderly. As a result, several fall detection systems are reported in the research literature or exist as commercial systems. Most of them use accelerometers and/ or gyroscopes attached on a person's body as the primary signal sources. These systems use either discrete sensors as part of a product designed specifically for this task or sensors that… CONTINUE READING
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