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.
