Research On Real-time Fall Detection Algorithm For The Elderly Based On Infrared Array Sensor

In recent years,with the development of human science and technology and the improvement of medical standards,the world population has increased year by year,the base of the elderly is also increasing,and the global aging is increasing.At the same time,the safety of the elderly has become the focus of social attention.Fall is the main threat to the health of the elderly.In the conventional fall detection system,although the fall detection requirement can also be met,there are more or less disadvantages.For example,the cost of detection is high,the privacy of the device is violated,and the elderly must wear the device in real time.Some shortcomings are unacceptable to the elderly.Therefore,in order to meet people's requirements for falling to the detection system,designing a high-precision,low-cost,and privacy-friendly indoor fall-to-detection system is a key issue to be solved.In order to meet the requirements of the elderly living alone and avoid the shortcomings of traditional detection systems,this paper designs a fall detection system using infrared array sensors.This paper proposes a non-contact system that uses infrared array sensors to detect human body state.Through a series of image processing and data analysis,the detection purpose is achieved.In order to achieve real-time monitoring,rather than simple motion analysis,the system identifies the suspicious points of human fall by simple positioning,and only the analysis of fall suspicious points can reduce the analysis of irrelevant data.In addition,when it comes to the influence of the radiation temperature result of the human body,the clustering algorithm divides the temperature into the ambient temperature,the human body temperature,and the radiation temperature,and solves the problem that the area of the area caused by the Otsu area detection is inaccurate.In addition,a two-layer threshold system model was designed to eliminate jogging motions that are very similar to the fall feature.Finally,these features are combined with the Random Forest Algorithm RF to increase the classification rate.The fall detection algorithm based on infrared array sensor proposed in this paper can adapt to the general living environment.Compared with the traditional detection system,the text is improved in many aspects.The experimental results show that the recognition accuracy of the falling detection system designed in this paper can reach more than 96%,and the average accuracy is as high as 94%.The system can effectively avoid the privacy problem caused by the video device to the elderly,and the cost is low,and reliable real-time detection can be realized,which is in line with the development trend of the current fall detection system.