Elderly fall detection system based on LiteOS operating system and 4G Cat1

Abstract

As China enters an aging society, the problem of aging is becoming more and more serious. The elderly are often alone when their children are at work. Due to their poor physical fitness, they are prone to falls, injuries or even unaided situations during outdoor activities. It has been shown that more than 47% of elderly people who fall cannot stand up on their own. If they cannot be found in time, the best rescue time may be missed, and secondary damage and negative effects may even occur. In this regard, there are currently researches on fall detection technology for the elderly at home and abroad. The existing fall detection schemes are roughly divided into three types: wearable sensor detection, environmental sensor detection and vision-based detection. It can only be used in a specific environment to play a role. Due to the high cost of visual sensor detection, it is generally only suitable for indoor occasions, while wearable sensor detection technology is relatively low in cost and suitable for outdoor occasions and has more applicable scenarios. For example, Zigbee is used to transmit terminal data to the server for prediction, but Zigbee has the disadvantage of short communication distance for long-distance outdoors. The use of Bluetooth to transmit terminal data to the host device for prediction is also only applicable to short-distance indoor scenarios. This paper designs a fall detection system for the elderly based on the LiteOS operating system and 4G Cat1 module. It uses the high-precision and low-drift MPU6050 to collect human body posture information and relies on the Cat1 module of the high-coverage and high-speed 4G network to transmit the posture information. To the cloud server, the server runs the CNN model on the terminal data to make a decision, and finally feeds back the decision result to the terminal device for alarming. For a wide range of outdoor occasions, it is helpful to prevent the elderly from falling in outdoor activities and causing life injuries without rescue.