A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset

Author:

Espinosa Ricardo,Ponce Hiram,Gutiérrez Sebastián,Martínez-Villaseñor Lourdes,Brieva Jorge,Moya-Albor Ernesto

Funder

Universidad Panamericana

Fomento a la Investigación UP 2018

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference69 articles.

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3. Lord, S. R., Sherrington, C., Menz, H. B., & Close, J. C. (n.d.). Strategies for Prevention. Falls in Older People,173-176. doi:10.1017/cbo9780511722233.011.

4. Age and sex influences on fall characteristics;Oneill;Ann. Rheum. Dis.,1994

5. A threshold-based fall-detection algorithm using a bi-axial gyroscope sensor;Bourke;Med. Eng. Phys.,2008

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