ISSN: 2265-6294

WHEELCHAIR SAFETY ENHANCED: IOT-BASED FALL DETECTION SYSTEM

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KOTICHINTHALA NEETHIKA,SYED SUMERA SANIYA,3SAMALA VINAYKUMAR

Abstract

The importance of wheelchairs for the elderly due to variables such as frailty and medical issues is widely recognized. Our hectic schedule prohibits us from observing them throughout the day. Furthermore, older people run the risk of collapsing from their wheelchair or rising from bed. Should they have fallen while no one was around to witness it? As a result, we can cover the topic of geriatric monitoring in this brief assignment by using RFID (radio frequency identification) and accelerometer sensors. An embedded system with thresholds watches the elderly indoors and out. This paper describes the accelerometer sensor and RFID technology used to monitor the activities of geriatric patients. Using this technology, we may watch the elderly's activity and receive an alarm message on our mobile devices if an accident occurs, allowing us to aid them as soon as possible. Falls can also be used to identify elderly people who live alone, and those with impairments may have mishaps that are unique to them.

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