Machine Learning Based Smart Assistive Device for Differently Abled People-SADDAP

Abstract

Recently, Human Activity Recognition (HAR) has turned into an energetic exploration region, particularly because of the spread of electronic gadgets, for example, cell phones, digital watches and camcorders present in our everyday lives. Likewise fall accidents are one of the primary sources of passing’s because of cracks brought about by clash with the ground or hard obstructions. The failure to see objects around oneself is the most tragic things that could happen to an individual. This likewise annihilates the capacity of the individual to move around without anyone else in known regions and conditions. Over the range of the last decade, a few sorts of gadgets have been intended to help the differently abled individuals to move around in various types of conditions be that as it may, in any case need to have every one of the components for diversely abled individuals or senior’s in one gadget. The current paper is the augmentation of our past work to add to say research with a way for offering help to differently abled or elder’s people. The proposed smart assistive activity recognition device for differently abled people that perceive the movement of environment around them and assist them with living. It likewise recognizes snags and sound on their route to caution them so they don’t get into an accident. The current paper adds to help differently abled individuals or elder’s by permitting them to realize the encompassing objects and safe them from getting into any mishap by fall detection and obstacle detection. Activity discovery is turning into an indispensable piece of numerous portable applications. The proposed system utilizes the procedures of machine learning to make an application that would help the differently abled individuals or elders and give them a freshly discovered expectation for cherishing the lavishness and difficulty of the world, meanwhile effectively explore in it.