human fall detection system in android
Aameeraa Begum.N,Kalpana.D,Subapriya.V
Published in International Journal of Advanced Research in Computer Science Engineering and Information Technology
ISSN: 2321-3337 Impact Factor:1.521 Volume:6 Issue:3 Year: 27 March,2017 Pages:1270-1279
Abstract
The usage of technology has ended up being a value asset in the prosperity office. Nowadays, from PCs to mobile phones, advancement society in their activities, being these eventually or cooperativily. Because of these ideal circumstances, new research has make to make structures and applications to help with peoples prosperity, for our circumstance recognizing fall incidents with the usage of mobile phones. This paper acquaints a route with manage recognize falls using unmistakable proposed computations with the target of peopling with their prosperity and security. The system is made out of three one of a kind fragments: data gathering, range decision, and fall ID. It utilizes the wireless intrinsic sensors (accelerometer, whirligig) to recognize the region of the mobile phone in the customers body (mid-segment, pocket, holster, et cetera.) and once a zone is perceived, the fall distinguishing proof portion happens. A general depiction on fall area systems is given, including the differing sorts of sensors used nowadays. The proposed course of action is presented and depicted in wonderful unobtrusive component. A total accuracy of 81.3% was found out from the fall distinguishing proof proposed computation. The primary three regions to recognize a fall were: informing with a 95.8% fall area accuracy, pants side pocket with a 87.5% precision, and shirt mid-segment pocket with a 83.3% precision. In like manner an extra study was done using only the holster territory making an awesome 100% region decision accuracy.
Kewords
GPS, Tri axial accelerometer, Electronic compass, Gyro meter, Rescue Center and Caregiver
Reference
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