Computational Analysis and Deep Learning for Medical Care

13Ambient-Assisted Living of Disabled Elderly in an Intelligent Home Using Behavior Prediction—A Reliable Deep Learning Prediction System

Sophia S.¹, Sridevi U.K.², Boselin Prabhu S.R.^3* and P. Thamaraiselvi⁴

¹Sri Krishna College of Engineering and Technology, Coimbatore, India

²PSG College of Technology, Coimbatore, India

³Surya Engineering College, Mettukadai, India

⁴School of Management, Sri Krishna College of Engineering and Technology, Coimbatore, India

Abstract

Ambient-assisted living (AAL) is a technology-based monitoring system which allows elderly and disabled people aiding in their daily routine and helps them to lead an assistance independent and safe lifestyle with a remote monitoring by their caretakers like children, doctors, and house keepers. Intelligent home is capable of vitally recording, learning, and framing unique strategy toward inmates’ daily activity behaviors on the basis of their routine activities. It is centered on the location information recorded from low-cost and non-invasive motion sensors which would monitor the movement of an individual being supervised. Using routine activities like eating, washing, restroom use, sleep, watching television, and reading a book, wellness can indeed be recorded, so the activities could be depicted. Smart home recognizes the inmates’ routine activities, and hence, the deviation could be predicted to assist in subsequent activities like reminders that make a connection among inmates and distant health-wishers ...