JOURNAL ARTICLE

GESTURE CONTROLLED ROBOT USING ADXL335 ACCELEROMETER

B. K. Ashish

Year: 2016 Journal:   International Journal of Research in Engineering and Technology Vol: 05 (10)Pages: 176-180

Abstract

In the field of hostile conditions, space is often considered as the harsh environment at its height and due to the extremities involved .However, it's not necessary to go so far away to find out other situations with such extreme conditions like high temperatures, freezing cold (for example arctic missions), humidity, high pressure level (like in oceanic trench), reduced accessibility and so on and so forth.This paper shows a way how to achieve all of this without risking human life using gesture controlled robots.Then, a robot can be useful to achieve some tasks just impossible to complete by a human operator.It just needs to be controlled by a human thus allowing a human to believe that he is actually there doing that task.It is more importantly used during natural calamities to lift or move heavy rubble to search for survivors.It is also used in scientific research.It is used to gather scientific data from dangerous and hazardous environments like in volcanoes.Wireless controlled robots are very useful in many applications like remote surveillance, military etc. Hand gesture controlled robot can be used by physically challenged in wheelchairs.They are also used to control industrial grade robotic arms .Applications can also include accidentally contaminated scenario (like a nuclear disaster) but also in an intentionally contaminated scenario (like a terrorist act or the use of biologic weapon).In short, the more the environment and the conditions present a threat, the more unmanned specialized robots come on stage.Then the gesture robot is of utmost importance in such scenarios.

Keywords:
Accelerometer Gesture Computer science Robot Human–computer interaction Physical medicine and rehabilitation Engineering Simulation Computer vision Artificial intelligence Medicine Operating system

Metrics

1
Cited By
0.23
FWCI (Field Weighted Citation Impact)
5
Refs
0.65
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Hand Gesture Recognition Systems
Physical Sciences →  Computer Science →  Human-Computer Interaction
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Robotics and Automated Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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