An Alarm System Based on BP Neural Network Algorithm for the Detection of Falls to Elderly Person

With the increase in the elderly population, people pay more and more attention to the harm caused by falls. When people reach old age, various functions of the body will degrade to a certain extent. If the elderly fall down, it may endanger their physical and mental health. In view of the above problems, this system designed a elderly fall detection and alarm system based on the reverse neural network algorithm, specifically using MPU6050 sensor to detect human posture data, the control module using the algorithm for real-time judgment, if the fall behavior, the control alarm module to send alarm messages. This system can be used in nursing home health monitoring system, intelligent home system in the detection subsystem and other intelligent medical aspects, can be used in various aspects to protect the health of the elderly, reduce the risk of accidental injury.