Hand Gesture Based Multi-Purpose Bot
Rishab Singh1, Yash Bhojwani2, Rachana Reddy3, H. Parveen Sultana4

1Rishab Singh*, SCOPE, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
2Yash Bhojwani, SCOPE, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
3Rachana Reddy*, SCOPE, Vellore Institute of Technology, Vellore, Tamil Nadu, India.
4Parveen Sultana H, SCOPE, Vellore Institute of Technology, Vellore, Tamil Nadu, India.

Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 54-57 | Volume-9 Issue-1, November 2019. | Retrieval Number: A5098119119/2019©BEIESP | DOI: 10.35940/ijitee.A5098.119119
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Standard interfaces like joysticks and keyboards act as a hindrance in providing precision-oriented results due to its unnaturalness. Recent developments have been made to overcome such imprecise interaction by developing gesture control based on accelerometer. Combining this gesture recognition concept with Bluetooth and the internet we aim to control the robot wirelessly to be able to ease human effort. Using this technology, we can surmount the difficulty faced in gathering data from a hazardous and lethal areas that might pose threat to human life. An accelerometer which measures the acceleration forces by sensing changes in its capacitance and translating it into voltage for interpretation helps us to get values of human body movement in terms of 3D plane. Bluetooth at the same time works by exchanging data between a phone and fixed device wirelessly. This is done using short-wavelength over short distances. Using both these technologies, every swinging motion will be sensed to gather precise movement using the accelerometer- ADXL335 and sending this data to the Arduino Uno which processes the received input and outputs instruction to be followed by the bot. This generated data is sent over to the phone app using Bluetooth module HC-05 which is further sent to the Thingspeak.com website. The receiver end then receives this data using Node MCU Wi-Fi Module and drives the motor to the input direction through the driving board connected to it. Hence, a common man will be able to use this effectively and easily to complete his tasks.
Keywords: Gesture Recognition, Robot, Motor Driver, Bluetooth Module, Mobile Application, NODEMCU, IoT
Scope of the Article: IoT