Falls is one of the leading causes of fatal and non-fatal injuries among the elderly community. According to the United States Centers for Disease Control and Prevention, there will be one older adult who passed away due to fall in every 19 minutes. And one out of four elderly in U.S. will experience fall every year.
The falls in elderly may cause different consequences and in serious cases, it may cause to death. Therefore, timely treatment is critical where immediate treatment may reduce the risk of serious injuries. The detection of fall events is so important for people who taking care of the elderly. The detection should be taken out in an automated way and detect fall events accurately.
This paper presented the image-based fall detection system which integrated the You Only Look Once (YOLO) object detection algorithm with the Image-based Fall Detection System algorithm in detecting fall events. The system will first get track of the person in the video frame with the object detection algorithm and the fall detection algorithm will be used to get track of the person’s height and to detect fall events. The objective of this system is to detect fall events immediately and accurately to notify the caregivers.
The system had been evaluated with different use cases and conditions. The result shows the system is able to detect fall events with the accuracy of 92% under the day light condition and 60% under the low light condition. An email notification will be sent as an alarm to notify the caregivers when any fall events was detected by the system.
The quick fall detection and notification of the system able to ensure the safety of the elderly were well monitored and timely treatment can take place when fall events were detected by the system.
