Assessment of waist-worn tri-axial accelerometer based fall-detection algorithms using continuous unsupervised activities

@article{Bourke2010AssessmentOW,
  title={Assessment of waist-worn tri-axial accelerometer based fall-detection algorithms using continuous unsupervised activities},
  author={Alan Kevin Bourke and Pepijn van de Ven and Mary Gamble and Raymond O'Connor and Kieran Murphy and Elizabeth Bogan and Eamonn McQuade and Paul M Finucane and Gear{\'o}id {\'O}Laighin and John Nelson},
  journal={2010 Annual International Conference of the IEEE Engineering in Medicine and Biology},
  year={2010},
  pages={2782-2785}
}
This study aims to evaluate a variety of existing and novel fall detection algorithms, for a waist mounted accelerometer based system. Algorithms were tested against a comprehensive data-set recorded from 10 young healthy subjects performing 240 falls and 120 activities of daily living and 10 elderly healthy subjects performing 240 scripted and 52.4 hours of continuous unscripted normal activities. 
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