An Analysis of the Accuracy of Wearable Sensors for Classifying the Causes of Falls in Humans

@article{Aziz2011AnAO,
  title={An Analysis of the Accuracy of Wearable Sensors for Classifying the Causes of Falls in Humans},
  author={Omar Aziz and Stephen N. Robinovitch},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2011},
  volume={19},
  pages={670-676}
}
Falls are the number one cause of injury in older adults. Wearable sensors, typically consisting of accelerometers and/or gyroscopes, represent a promising technology for preventing and mitigating the effects of falls. At present, the goal of such “ambulatory fall monitors” is to detect the occurrence of a fall and alert care providers to this event. Future systems may also provide information on the causes and circumstances of falls, to aid clinical diagnosis and targeting of interventions. As… CONTINUE READING
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