Version 1
: Received: 1 January 2019 / Approved: 3 January 2019 / Online: 3 January 2019 (14:32:23 CET)
How to cite:
Ullah, S.; Mumtaz, Z.; Liu, S.; Abubaqr, M.; Mahboob, A.; Madni, H.A. An Automated Robot-Car Control System with Hand-Gestures and Mobile Application Using Arduino. Preprints2019, 2019010029. https://doi.org/10.20944/preprints201901.0029.v1
Ullah, S.; Mumtaz, Z.; Liu, S.; Abubaqr, M.; Mahboob, A.; Madni, H.A. An Automated Robot-Car Control System with Hand-Gestures and Mobile Application Using Arduino. Preprints 2019, 2019010029. https://doi.org/10.20944/preprints201901.0029.v1
Ullah, S.; Mumtaz, Z.; Liu, S.; Abubaqr, M.; Mahboob, A.; Madni, H.A. An Automated Robot-Car Control System with Hand-Gestures and Mobile Application Using Arduino. Preprints2019, 2019010029. https://doi.org/10.20944/preprints201901.0029.v1
APA Style
Ullah, S., Mumtaz, Z., Liu, S., Abubaqr, M., Mahboob, A., & Madni, H.A. (2019). An Automated Robot-Car Control System with Hand-Gestures and Mobile Application Using Arduino. Preprints. https://doi.org/10.20944/preprints201901.0029.v1
Chicago/Turabian Style
Ullah, S., Athar Mahboob and Hamza Ahmad Madni. 2019 "An Automated Robot-Car Control System with Hand-Gestures and Mobile Application Using Arduino" Preprints. https://doi.org/10.20944/preprints201901.0029.v1
Abstract
Gesture recognition has always been a technique to decrease the distance between the physical and the digital world. In this work, we introduce an Arduino based vehicle system which no longer require manual controlling of the cars. The proposed work is achieved by utilizing the Arduino microcontroller, accelerometer, RF sender/receiver, and Bluetooth. Two main contributions are presented in this work. Firstly, we show that the car can be controlled with hand-gestures according to the movement and position of the hand. Secondly, the proposed car system is further extended to be controlled by an android based mobile application having different modes (e.g., touch buttons mode, voice recognition mode). In addition, an automatic obstacle detection system is introduced to improve the safety measurements to avoid any hazards. The proposed systems are designed at lab-scale prototype to experimentally validate the efficiency, accuracy, and affordability of the systems. We remark that the proposed systems can be implemented under real conditions at large-scale in the future that will be useful in automobiles and robotics applications.
Engineering, Electrical and Electronic Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
