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Sensors 14 19806

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Sensors 2014, 14, 19806-19842; doi:10.3390/s141019806 OPEN ACCESS sensors ISSN 1424-8220 www.mdpi.com/journal/sensors Review Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors Yueng Santiago Delahoz * and Miguel Angel Labrador Department of Computer Science and Engineering, University of South Florida, 4202 E Fowler Ave, Tampa, FL 33620, USA; E-Mail: mlabrador@usf.edu * Author to whom correspondence should be addressed; E-Mail: yuengdelahoz@mail.usf.edu; Tel.: +1-813-775-5885. External Editor: Panicos Kyriacou Received: 18 September 2014; in revised form: 10 October 2014 / Accepted: 16 October 2014 / Published: 22 October 2014 Abstract: According to nihseniorhealth.gov (a website for older adults), falling represents a great threat as people get older, and providing mechanisms to detect and prevent falls is critical to improve people’s lives. Over 1.6 million U.S. adults are treated for fall-related injuries in emergency rooms every year suffering fractures, loss of independence, and even death. It is clear then, that this problem must be addressed in a prompt manner, and the use of pervasive computing plays a key role to achieve this. Fall detection (FD) and fall prevention (FP) are research areas that have been active for over a decade, and they both strive for improving people’s lives through the use of pervasive computing. This paper surveys the state of the art in FD and FP systems, including qualitative comparisons among various stu ...
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