GESTURE CONTROLLED ROBOTIC WHEELCHAIR
Abstract & Details
Research Area
Electronics And Electrical Engineering
Keywords
Gesture-controlled
Paralysis
Biomedical
Handicapped
Automation
Wheelchair
Abstract
The principle goal of this paper is to exhibit a quick and exact calculation for controlling a robot by just indicating hand motions from a wearable gadget mounted on a glove. Using this method, one can represent a constrained arrangement of hand signals, the automated vehicle will move in the respective direction. A specific arrangement of physically created directions and a well-structured domain to show a basic, yet possible method for hand-signal recognition. The methodology includes the detecting of movement of the hand, ordering the signal by using a coded microcontroller and further transmission to the receiver on the automated vehicle utilizing a radio transmitter. The motion is detected by an accelerometer on the glove, which is at that point encoded and transmitted to the radio receiver on the vehicle. The gesture is then received, decoded and moved to a motor driver to control the wheels. Comparing to the coordinated motion, the activity is performed by the robot. The calculation being used in the process is independent of translation, the size of the client's hand and revolution. This is planned to be utilized in pulling objects of multiple times its own weight in industries as well as hotels for serving purposes. The unwavering quality and power of the proposed model are tried and broke down. The outcomes, which decide the effectiveness and accuracy, have been tabulated.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Mohammed Atif Jaseem | Vellore Institute of Technology |
| 2 | Alphons C Davies | Vellore Institute of Technology |
| 3 | Vivekanandan S | Vellore Institute of Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Jaseem, Mohammed Atif, Davies, Alphons C, & S, Vivekanandan (2019). GESTURE CONTROLLED ROBOTIC WHEELCHAIR. International Journal of Advance Research and Innovative Ideas In Education, 5(6), 229-237.
MLA Style
Jaseem, Mohammed Atif, et al. "GESTURE CONTROLLED ROBOTIC WHEELCHAIR." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 6, 2019, pp. 229-237.
IEEE Style
Mohammed Atif Jaseem, Alphons C Davies, and Vivekanandan S, "GESTURE CONTROLLED ROBOTIC WHEELCHAIR," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 6, pp. 229-237, 2019.
Vancouver Style
Jaseem Mohammed Atif, Davies Alphons C, S Vivekanandan. GESTURE CONTROLLED ROBOTIC WHEELCHAIR. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(6):229-237.
Harvard Style
Jaseem, Mohammed Atif, Davies, Alphons C, & S, Vivekanandan (2019) 'GESTURE CONTROLLED ROBOTIC WHEELCHAIR', International Journal of Advance Research and Innovative Ideas In Education, 5(6), pp. 229-237.
Chicago Style
Jaseem, Mohammed Atif, Alphons C Davies, and Vivekanandan S. "GESTURE CONTROLLED ROBOTIC WHEELCHAIR." International Journal of Advance Research and Innovative Ideas In Education 5, no. 6 (2019): 229-237.
Turabian Style
Jaseem, Mohammed Atif, Alphons C Davies, and Vivekanandan S. "GESTURE CONTROLLED ROBOTIC WHEELCHAIR." International Journal of Advance Research and Innovative Ideas In Education 5, no. 6 (2019): 229-237.
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