Detecting Falls Using a Wearable Accelerometer Motion Sensor

Author:

Nguyen Hoa1,Mirza Farhaan1,Naeem M. Asif1,Baig Mirza Mansoor1

Affiliation:

1. Auckland University of Technology, Auckland, New Zealand

Publisher

ACM

Reference32 articles.

1. World Health Organization . Ageing and Life Course Unit . 2008 . WHO global report on falls prevention in older age. World Health Organization . World Health Organization. Ageing and Life Course Unit. 2008. WHO global report on falls prevention in older age. World Health Organization.

2. Accelerometer-based fall detection for smartphones

3. Sensor Placement for Activity Detection Using Wearable Accelerometers

4. Omar Aziz Magnus Musngi Edward J Park Greg Mori and Stephen N Robinovitch. 2017. A comparison of accuracy of fall detection algorithms (thresholdbased vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials. Medical & biological engineering & computing 55 1 (2017) 45--55. Omar Aziz Magnus Musngi Edward J Park Greg Mori and Stephen N Robinovitch. 2017. A comparison of accuracy of fall detection algorithms (thresholdbased vs. machine learning) using waist-mounted tri-axial accelerometer signals from a comprehensive set of falls and non-fall trials. Medical & biological engineering & computing 55 1 (2017) 45--55.

5. Luca Basili , Giuseppe DeMaso-Gentile , Cristiano Scavongelli , Simone Orcioni , Stefano Pirani , and Massimo Conti . 2016. Fall Detection Using Wearable Accelerometers and Smartphone . In Mobile Networks for Biometric Data Analysis . Springer , 299--311. Luca Basili, Giuseppe DeMaso-Gentile, Cristiano Scavongelli, Simone Orcioni, Stefano Pirani, and Massimo Conti. 2016. Fall Detection Using Wearable Accelerometers and Smartphone. In Mobile Networks for Biometric Data Analysis. Springer, 299--311.

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