• Hansa Shingrakhia

Activity Recognition is a technology which is based on mathematical interpretation of human body by a computing device. It is the ability to recognize human gestures and movements intelligently and effortlessly with a human-friendly environment. This paper will help in the field of safety of elderly people and people with disabilities, which need special assistance. It will detect the unusual gestures or movements and notify the user about it. Using the machine learning technology, it will determine the gesture which differs from the usual gestures or movements. It will be able to detect movements like person falling off the bed or a chair or a wheelchair, people having heart attack, not being able to stand up etc. Activity Recognition technology enables humans to communicate with the machine and interact naturally without any mechanical devices. The paper will help to increase safety and security in the house.

Activity recognition, Gesture, Machine learning

"Human activity recognition using deep learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 5, page no.856-861, May-2018, Available :http://www.jetir.org/papers/JETIR1807138.pdf

"Human activity recognition using deep learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 5, page no. pp856-861, May-2018, Available at : http://www.jetir.org/papers/JETIR1807138.pdf