IOT-DRIVEN FALL DETECTION: A SMART MONITORING SYSTEM FOR ELDERLY CARE

Abstract

The number of senior accidents is more than previously believed, according to statistics. Fatalities or severe injuries could result from such incidents. Curiously, falls account for 70% of mortality in the 75-plus age group. As a result of falls, more than 90% of hip fractures in the elderly occur in this age group. A study conducted in 2000 by the American Family Physician indicated that among the elderly, 33% experience falls in their homes, while 60% do so in nursing homes. Dr. George F. Fuller, of the United States Army Medical Center in Washington, D.C., received this communications. We need to launch an awareness campaign and employ statistical analysis to secure assistance. A multimodal fall detection and assistance tool is the intended outcome of this study. It tracks the user's orientation, speed, and weight. You get a CPU, Wi-Fi, load sensor, and measurement system. To identify a fall, record, transmit, and track any changes to the initial velocity, trajectory, or mass data. Upon activation of the alarm, the microcontroller communicates with the appropriate parties by sending and receiving multiple signals. A little shift in the probability of an event can be mistaken for a "decline," leading to unnecessary alarms and stress. In case of emergencies, the gadget contains a "nap button," also known as a safety button. Pressing this button will temporarily turn off the sensor system. It can be fastened to a wheelchair if that becomes necessary. A smart device is also yours. Users can receive aid quickly and avert serious harm with this incredible technology.