IoT Based Person Fall Detection From Wheelchair and Showing Body Temperature

Abstract

Falls iare ithe isecond ibiggest icause iof iaccidental ior iunintentional iinjury ideaths iglobally, iaccording ito ithe iWorld iHealth iOrganization. i Adults over the age of 65, as well as patients, have the highest rate of fatal falls. As a result, adopting automatic fall detection systems can improve the quality of life of older persons or patients. This study shows a fall detection system as well as the temperature of the patients. Three key components make up the system: a wearable device, a cell phone, and a temperature sensor. The wearable device may communicate with a cell phone via GPS. When the wearable device senses a fall, it sends a notification to the phone as an alert. When a fall occurs, all data, including the wheelchair's location, is relayed to the Blynk mobile application. The IoT system will send an email to the registered individual to notify them that a fall event has occurred and that assistance is required. Furthermore, this method is less expensive to build and delivers a quick response. It can be installed in any commercial wheelchair. However, this technology has a drawback in that it requires a strong Wi-Fi connection. A better GUI design, as well as more detection, can be put into the system in the future for future recommendations. . iTo iimprove ithe iaccuracy iof ithe isystem, ianiadd-onisystemicanibeiincorporated.