Design and Development of Context Aware Abnormal Activity Recognition System for Elderly and Disabled Person Using ML/DL Approach

Elderly and disabled person activity recognition in smart home is actively topic for getting to changes in physical and behavioral profiles of person health . Different activity recognition solutions have been before now proposed to put into use system with some wearable sensors and smartphones. This work aims to provide automated system for (different from what's usually expected) condition detection and also send alert to the nearest family member of that person. For this system different Convolutional Neural Network (CNN) models such as CNN-VGG, AlexNet are going to be used. Internet of Things (IoT) is seen as new way of thinking, (totally changing and improving)by extending Internet connectivity to many physical objects connected with people (who use a product or service) daily life. In this paper, an Internet of Things (IoT) based activity recognition is proposed for activity supervising within (related to people who use a product or service) home network.