ACCELEROMETER–BASED HUMAN FALL DETECTION AND RESPONSE USING SMARTPHONES
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Abstract
Unobserved human falls can be dangerous and can badly affect health. Falls can cause a loss of independence and instill fear among 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 minimize the response time and, therefore, prevent the victim from suffering serious injuries. This paper presents a smartphone-based fall detection and response sending application that relies on the built-in accelerometer sensor and GPS module in smartphones. The data from the accelerometer is continuously screened when the phone is on the user's belt or in their 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.
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