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Novel Method of Fall Detection Algorithm Using Android Phone Accelerometer and Orientation
tm3107112042
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Many fall detection algorithm using Android phone are not very effective. Fall detection system must be 100% accurate and effective because human lives are at stake. Current effectiveness of Android fall detection algorithm can be enhanced using the devices accelerometer and orientation. An accelerometer is a device that measures the acceleration of motion of an object. All other fall detection algorithm relies solely on the accelerometer itself but testing shows that it is not an accurate fall detector in all situations. Combining the phones acceleration and orientation data means that it would possible to accurately detect falls in all situation.

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Computer Science Department, Faculty of Science and Defence Technology, National Defence University of Malaysia
57000 Kem Sungai Besi
Kuala Lumpur
Malaysia

Full Name [1]
Prof. Madya Kapt Syed Nasir Alsagoff bin Syed Zakaria (Bersara)
Email [1]
syednasir@upnm.edu.my