International Journal of Current Engineering and Technology ©2021 INPRESSCO ® , All Rights Reserved Available at http://inpressco.com/category/ijcet Review Article 617| International Journal of Current Engineering and Technology, Vol.11, No.6 (Nov/Dec 2021) Gestures Controlled Home Automation using Deep Learning: A Review A. D. Harale 1 , Amruta S. Bankar 2* and K. J. Karande 3 1,2,3 Department of Electronics and Telecommunication Engineering, SKN Sinhgad College of Engineering, Korti, Pandharpur, Taluka-Pandharpur, District-Solapur, Pin-413 304, Maharashtra, India. Received 15 Oct 2021, Accepted 10 Nov 2021, Available online 16 Nov 2021, Vol.11, No.6 (Nov/Dec 2021) Abstract This paper presents the review of the studies carried out on the application using computer vision for hand gesture recognition. Hand gestures can be used to operate the electronic devices. Therefore, it is very much essential to review on the scientific studies whose aim is to develop a technique to achieve more precise and faster sign language recognition system for plain and cluttered backgrounds with different humans to help speech and hearing impaired in their life, robot control, human–computer interaction (HCI), home automation and medical fields. The objective of this paper is to give an overall literature review of the work done related to identify the current technology and methodology used in hand gesture recognition as well as home automation system. This paper mainly describes various images or vision based sign language recognition system comprising pre-processing, feature extraction and classification. The system conversion of sign language to text. The recognized text can be sent to the control model. The gesture based automation communicates directly with control model to control home appliances. Keywords: Gesture Recognition, Image Classification, Deep Learning, Home Appliances 1. Introduction Now a day, the scope for hand gestures has been increased for interaction with consumer electronics and mobile devices. The objective of the home automation system is to create a system that can manage home appliances using any one of the two assigned methods: 1. Gesture-based 2. Web-based. Disabled or old aged people who can't walk require an effortless way of accessing things around them, which must be served systematically and efficiently. This idea integrates automation with technology. Traditional home automation systems are not suitable for aging populations or disable persons. It’s for those who cannot perform basic activities efficiently. Home automation systems are used to control home appliances through remote control. Web-based automation and gesture-based automation provides a comfort to those people who are physically unable for efficiently performing the day-to-day tasks. Home automation or domestics is building automation for a home, called a smart home or smart house. A home automation system will control lighting, climate, entertainment systems, and appliances. *Corresponding author’s ORCID ID: 0000-0003-2096-9524 DOI: https://doi.org/10.14741/ijcet/v.11.6.4 It may also include home security such as access control and alarm systems. When connected with the Internet, Home devices are an important constituent of the Internet of Things. Hand Gesture Recognition System is a branch of Human Computer Interaction in which Human hand gestures are recognized by the computer system and then perform a pre-defined task as per the application for controlling software as well as hardware. As we know, the vision-based technology of hand gesture recognition is an important part of human- computer interaction (HCI). In the last decades, keyboard and mouse play a significant role in human computer interaction. However, owing to the rapid development of hardware and software, new types of HCI methods have been required. In particular, technologies such as speech recognition and gesture recognition receive great attention in the field of HCI. Being able to interact with the system naturally is becoming ever more important in many fields of Human Computer Interaction. Hand gestures offer an inspiring field of research because they can facilitate communication and provide a natural means of interaction that can be used across a variety of applications. Previously, hand gesture recognition was achieved with wearable sensors attached directly to the hand with gloves. These sensors detected a physical response according to hand movements or finger bending. The data collected were then processed using a computer connected to the glove with wire. This system of glove-based sensor could be