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Hand Gesture Recognition System in Smart Environment
Savaridassan P1, Aman Jain2, Prerna Jaiswal3, Rajat Kumar4, Deepanshu Koolwal5

1Savaridassan P, Assistant Professor, Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
2Aman Jain, B.Tech Student, Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
3Prerna Jaiswal, B.Tech Student, Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
4Rajat Kumar, B.Tech Student, Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.
5Deepanshu Koolwal, B.Tech Student, Information Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India.

Manuscript received on April 30, 2020. | Revised Manuscript received on May 06, 2020. | Manuscript published on May 30, 2020. | PP: 2194-2199 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2850059120/2020©BEIESP | DOI: 10.35940/ijrte.A2850.059120
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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: The smart environment allows users to interact effortlessly with their immediate surroundings using embedded sensors, displays, and computing devices. This system will not only be useful for ordinary people with no disabilities but also for people with disabilities like vision disability, cognitive, psychological and etc. Hand Gesture Recognition opens up a lot of possibilities for IoT based projects. At the end of the project, the goal is to design a cost-effective and highly interactive system through which a user can control the electric home appliances through hand gestures. This is a wireless device that is used to manipulate various devices using finger movement. The proposed device incorporates a transmitter connected to the MEMS accelerometer which detects movement warnings and transmits signals wirelessly using the radio frequency radio module (Zig Bee). The gesture alert which is input to the system is transmitted and obtained wirelessly using a wi-fi radio frequency module (ZigBee). The instrument contains a triaxial accelerometer, a microprocessor, and a ZigBee wi-fi transmission module. Acceleration warnings measured by the triaxial accelerometer are sent to a receiver via the ZigBee Wi-Fi module.
Keywords: MEMs, hand gesture, glove based technology, wireless technology.
Scope of the Article: Wireless Technology