Accidental falls are the main cause of injuries and deaths of the elderly.Therefore,researches on fall intelligent detection systems increase unceasingly.Fall detection systems are classified into four categories:wearable,indoor non-image,indoor image,and hybrid systems.Technical feature of each category is explained and various sensors used in fall detection systems are summarized.In addition,main process and content of fall detection are introduced.The main methods for fall determination,threshold analytical method and machine learning are stated.Finally,the shortcomings of the fall detection system are analyzed.In the future,with continuous improvement,fall detection systems will have broad application prospects.
关键词
跌倒检测/老年人/行为识别/机器学习
Key words
fall detection/the elderly/behavior recognition/machine learning