关键词: 实时跌倒检测, 支持向量机算法（SVM）, 远程监护, 云智能, 物联网

Abstract: A cloud intelligent real-time fall detection system is developed to accurately judge the aged people’s fall and get timely help. This cloud intelligent system effectively integrates the new MEMS senor technology, data communication technology and control technology. Firstly, the system collects the data of aged population’s ADL（Activities of Daily Living） through the detecting device. And then the Support Vector Machine（SVM） algorithm is used to deal with the data. Finally, the characteristic data is output and uploaded to the internet of things cloud platform through GPRS, simultaneously sending the fall SMS to the guardian’s mobile phone. The experimental results show that the accuracy of fall judgment is 100 percent, and by using phone APP or the internet of things cloud platform the guardian can view the aged population’s real-time ADL and get the fall SMS. This device can break through the long-distance limit to effectively care for the aged population.

Key words: real-time fall detection, Support Vector Machine（SVM）, remote monitoring, cloud intelligence, internet of things