Accurate, Fast Fall Detection Using Posture and Context Information. Li, Q., Zhou, G., Stankovic, J. A, & Acm
doi  abstract   bibtex   
Traditional fall detection is only based on acceleration analysis. In this work we present a novel fall detection method that also utilizes posture and context information. This information can help reduce both false positives and negatives. Our solution also strives for low computational cost and fast response.
@article{liAccurateFastFall2008,
  title = {Accurate, {{Fast Fall Detection Using Posture}} and {{Context Information}}},
  doi = {10.1109/p3644.45},
  abstract = {Traditional fall detection is only based on acceleration analysis. In this work we present a novel fall detection method that also utilizes posture and context information. This information can help reduce both false positives and negatives. Our solution also strives for low computational cost and fast response.},
  journaltitle = {Sensys'08: Proceedings of the 6th Acm Conference on Embedded Networked Sensor Systems},
  date = {2008},
  pages = {443--444},
  author = {Li, Qiang and Zhou, Gang and Stankovic, John A and {Acm}},
  file = {/home/dimitri/Nextcloud/Zotero/storage/A39YLXJC/Li et al. - Unknown - Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information.pdf}
}

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