Browsing by Author "Priyanka, P"
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Item Fall Detection System for the Elderly People(2018-06-23T08:49:00Z) Antonita, Aishwarya A; Priyanka, P; Jayashree, R; Jayashree Devi, KAs per the records of the World Health Organization, Falls are one of the fatal reasons which cause deaths. Adults aged more than 65 experience the hugest number of fatal falls. Fall-related injuries can thus be prevented or decreased by employing fall detection systems. Therefore, the standard of life of the older adults can be monitored and enhanced with the aid of an automatic fall reduction system. Our project includes a fall detection system that supervises an older adult in the real time. Fall is basically an utmost communal health issue, it not only causes many damaging breakages but also several other dramatic psychological consequences which reduce the autonomy of people. It is noticed that as early as the fall is reported, the lower will be the rate of harmfulness-temporality. Fall detection is a captivating scientific issue since it is a vague process which one can approximate to using a variety of methods. The fall detection system basically includes two important elements: a wearable instrument and an android mobile phone. This wearable instrument has the ability of communicating with an android mobile phone that is located within 100ft radius. Once, the wearable instrument identifies a fall, it sends an alert to the mobile phone, then the mobile phone will then send an alert to the contacts provided initially by the user.. In addition, our system has a unique button called the panic button which is used to alert the contacts if at all the user feels that a fall may happen or if he/she wants to be monitored immediately. A voice play-back kit is ensured to make the person feel comfortable in case if the person forgets to press the interrupt button if he/she is alright and doesn’t want any alert to be sent to the guardian or the emergency unit and the voice playback kit also informs the user regarding his/her tablet timings.