1Research Scholar, School of Computer Science and Engineering, VIT University, Vellore-632014, Tamilnadu, India
2Associate Professor, School of Information Technology and Engineering, VIT University, Vellore-632014, Tamilnadu, India
3Associate Professor, Dayananda Sagar Academy of Technology and Management, Bangalore, India
Ambient Assisted Living (AAL) is a recent communication technology, which makes an intelligent object in the environment to support the elderly people in living independently. An Ambient Intelligence is a technology and it Aims to build a safe environment around the assisted people. Nowadays, the population of elderly people in living alone keeps on increasing. Hence, it becomes a major impact in our society. The AAL based Elderly people monitoring system requires the efficient and cost effective solution. The proposed system performs three operations such as Elderly people monitoring, activity recognition and health status prediction using Support Vector Machine (SVM) Algorithm. The sensor's (Accelerometer, Temperature sensor, Pulse rate sensor) are connected to the Arduino micro controller and the generated data is stored in cloud storage (Thing Speak). The health status prediction part introduces SVM algorithm and it classifies the data from Thing Speak. Finally, the proposed system improves the prediction accuracy and also provides the cost effective solution of this problem.
Elder people monitoring, Health status prediction, Internet of Things, Ambient Assisted Living, Support Vector Machine
