Accelerometer and Camera-Based Strategy for Improved Human Fall Detection

Author:

Zerrouki Nabil,Harrou Fouzi,Sun Ying,Houacine Amrane

Funder

King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR)

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Reference61 articles.

1. Ageing, W.H.O., and Unit, L.C., WHO global report on falls prevention in older age. World Health Organization, 2008.

2. Giannakouris, K., Ageing characterises the demographic perspectives of the european societies. Stat. Focus 72:2008, 2008.

3. Todd, C., and Skelton, D.: What are the main risk factors for falls among older people and what are the most effective interventions to prevent these falls? Copenhagen, WHO Regional Office for Europe, 2004.

4. Yu, M., Miao, R., Adel, N., Mohsen, S., Wang, L., and Chambers, J., A posture recognition-based fall detection system for monitoring an elderly person in a smart home environment. IEEE Trans. Inf. Technol. Biomed. 16(6):1274–1286, 2012.

5. Heinrich, S., Rapp, K., Rissmann, U., Becker, C., and König , H.-H., Cost of falls in old age: a systematic review. Osteop. Int. 21(6):891–902, 2010.

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