International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 05 | May 2022
p-ISSN: 2395-0072
www.irjet.net
Arduino Based Hand Gesture Controlled Robot Swarnika Shruti1, Savita Kumari Verma2, Shrishti Singh3, Tanya Gupta4 1,2,3Dept.
of Electronics and Communication, KIET Group of Institutions, Ghaziabad, India-201206 of Electronics and Instrumentation, KIET Group of Institutions, Ghaziabad, India-201206 ---------------------------------------------------------------------***--------------------------------------------------------------------deliver information to the close computer cell phone. It can Abstract - As robot capabilities become more complex, 4Dept
be executed on a watch or in any home appliances a likewise Air conditioner. Modern ARDUINO chips help Intranet and Internet rapport which can be employed to an enormous degree. This robotic car can be enriched to function in the military surveillance where it can be transmitted to enemy headquarters and trace its actions via the Internet. With a sense full of inventiveness, the chances are vast.
some, but not all, human tasks are supplanted by robots. Robots, on the other hand, rely on human programming and will continue to do so in the future. This paper explains how to simplify the difficult and complex techniques of operating robotic devices in a variety of applications. It's quite tough to use a remote or switches to control a robot or a specific machine. This advanced technology can recognize our hand motions or gestures and respond to our commands. A camera collects your hand gestures, and processing of image algorithms will be used to compare the previous and present hand motions. Based on the comparison result, the robot will get the appropriate command over a ZigBee wireless connection. This technology can thus be used to operate a specific machine.
In this paper, the aim and execution of Gesture Controlled Robot are illustrated and formulated using an Arduino microcontroller and Android Smartphone. An algorithm has been given and its work is accurate fully. Since the revising chances are huge, revamping the system has been kept as a future scope. The assembled tool is reasonable and is simple to hold from one place to another. The improvement of some extra sensors or cameras will provoke it more efficient. The restriction of the hardware being related to a system has been reduced to a great degree. As a future idea, the system will permit the user to regulate it in a way that decreases the extent between the real world and the digital world with an outcome more automatic.
Key Words: Hand gesture, Image processing, Interrupt, Microcontroller, Motor Polarity, Arduino, Hand Gestures, Robot, transmission, Sensors.
1. INTRODUCTION Technology has assisted humans in today's culture by enhancing workplace efficiency, regardless of hazardous working circumstances or a complex environment. Robots have simplified work to a simple process in a variety of fields, from medicine to industry [1]. Even as technology progresses, it will never be able to complete any job without the supervision of its master, i.e., humans. Apart from using external devices to control robots, simple gestures are the most natural and effective way to communicate with them.
2.2 Hand gesture robot using radar sensors for human-computer interaction [3] A vast expansion and instantaneous improvement of radar based HGR was noticed in the former decade. This paper surveyed some of the studies associated with HGR petitions using radars. Currently, the experimenters depend on the economically accessible radars prepared by tech companies such as Infenion, Novelda and Texas Instrument. With these systems living on chips, much scrutiny has been spent on formulating the motion detection and acclaim algorithms. In the contemporary era, attention is changing from signal-processing-based HGR algorithms to deep-learning-based algorithms. Especially, variants of CNN have indicated assuring relevancy. Although radar sensors show numerous reasons over the other HGR detectors (i.e., wearable sensors and cameras), the adoption of radar based HGR in our everyday inhabits is still delayed behind these rivalling technologies. Awareness must be expended to imitating hardware improvement and real-time distinction algorithms’ improvement.
2. Literature Review 2.1 Gesture Controlled Robot using Android & Arduino [2] The Gesture controlled robot constructed in this task has many future scopes. The robot can be used for supervision objectives. The robot can connect to a wheelchair which can be run by the actions of the rider's hand. Wi-Fi can be used for transmission instead of Bluetooth to allow it to a tremendous degree. Edge sensors can be integrated into it to prohibit the robot from declining from any ground. Some cameras can be placed which can document and
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