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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed, Platinum Open Access and Multidisciplinary

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Monisha Mohan, Arun P.S , , ,
Computer Science and Engineering, Sree Buddha College of Engineering, Pattoor P.O., Alappuzha Dist., Kerala, Pin code:690529, India,
:10.22362/ijcert/2017/v4/i5/xxxx [UNDER PROCESS]

Unobserved human falls can be dangerous and can badly affect health. Falls can cause loss of independence and fear among the older people. In most fall events external support is essential to avoid major consequences. Thus, the ability to automatically detect these fall events could help minimising the response time and therefore prevents the victim from having serious injuries. This paper presents a smartphone based fall detection and response sending application which is based on the built-in accelerometer sensor and GPS module in the smartphones. The data from the accelerometer is continuously screened when the phone is in the user’s belt or pocket. When a fall event is detected, the user’s location is tracked and SMS and email notifications are sent to a set of contacts.

Monisha Mohan, “Accelerometer–Based Human Fall Detection And Response Using Smartphones”, International Journal of Computer Engineering In Research Trends, 4(5):150-154, May -2017.

Keywords : Fall Detection, Smartphone, ADL, Accelerometer Sensor.

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