P. Jegathesh,P.Preetha,S. Chitra,A.S. Harivignesh,



Artificial Intelligent,Machine Learning,RFID(RadioFrequency Identification) sensor,Decision Tree,SVM tree,Data analytics,K-Means,Naïve Bayes theorem,


Perching on cot, perching on recliner, obtaining out of cot and step dancing (ambulating standing, walking round the room) somewhere is troublesome for the older folks. Ambulating with facilitate of the folks or oversight is known jointly of the key causes of patient falls in hospitals and rest home thus we tend to use Artificial Intelligent and Machine Learning for top falls risks of older folks. Machine learning is associate algorithmic rule that's used for predicting outcomes accurately. we tend to incontestable 2 datasets that embrace time in seconds, frontal axis of acceleration, vertical axis of acceleration, and Lateral axis of acceleration, label of activity, frequency, phase,  received signal strength indicator and Id of antenna reading sensing element. such a big amount of technological solutions area unit foreseen for bed existing detection employing a style of sensors that area unit fastened with older folk body, their cot or around  somewhere with context to the older folks orfloor.


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