Smart Home Automation using Hand Gesture Recognition System
Vignesh Selvaraj Nadar1, Vaishnavi Shubhra Sinha2, Sushila Umesh Ratre3
1Vignesh Nadar*, Student, Department of Computer Science, Amity University Mumbai, India.
2Vaishnavi Sinha, Student, Department of Computer Science, Amity University Mumbai, India.
3Sushila Ratre, Professor, Department of Computer Science, Amity University Mumbai, India.
Manuscript received on December 02, 2019. | Revised Manuscript received on December 08, 2019. | Manuscript published on December 30, 2019. | PP: 18-21 | Volume-9 Issue-2, December, 2019. | Retrieval Number: B3055129219/2019©BEIESP | DOI: 10.35940/ijeat.B3055.129219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Visual interpretation of hand gestures is a natural method of achieving Human-Computer Interaction (HCI). In this paper, we present an approach to setting up of a smart home where the appliances can be controlled by an implementation of a Hand Gesture Recognition System. More specifically, this recognition system uses Transfer learning, which is a technique of Machine Learning, to successfully distinguish between pre-trained gestures and identify them properly to control the appliances. The gestures are sequentially identified as commands which are used to actuate the appliances. The proof of concept is demonstrated by controlling a set of LEDs that represent the appliances, which are connected to an Arduino Uno Microcontroller, which in turn is connected to the personal computer where the actual gesture recognition is implemented.
Keywords: Arduino, Gesture Recognition, Home Automation, Human Computer Interaction, Machine Learning.