Proceedings ArticleDOI
Iris movement based wheel chair control using raspberry Pi — A state of art
Jatin Sharma,M Anbarasu,Chandan Chakraborty,M Shanmugasundaram +3 more
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TLDR
This paper enlists some of the already existing methods along with some add-ons to improve the existing system for quadriplegia rehabilitation, and designs a system, which will be designed using Raspberry Pi and IR Camera Module.Abstract:
Paralysis is considered as a major curse in this world. The number of persons who are paralyzed and therefore dependent on others due to loss of self-mobility is growing with the population. Quadriplegia is a form of Paralysis in which you can only move your eyes. Much work has been done to help disabled persons to live independently. Various methods are used for the same and this paper enlists some of the already existing methods along with some add-ons to improve the existing system. Add-ons include a system, which will be designed using Raspberry Pi and IR Camera Module. OpenCV will be used for image processing and Python is used for programming the Raspberry Pi.read more
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Proceedings ArticleDOI
Raspberry Pi based Automatic Door Control System
TL;DR: In this article, a cloud-based mobile application is designed for home key authentication using biometrics face recognition initialization for home door unlocking using IOT paradigm and OpenCV (image processing) to secure and control the shelter in the owner's absentia.
Book ChapterDOI
Determining the Usability of Embedded Devices Based on Raspberry Pi and Programmed with CODESYS as Nodes in Networked Control Systems
TL;DR: Raspberry has been never intended to be implemented in industrial environment and was not designed as a real-time device, therefore its temporal characteristics should be analyzed.
Journal ArticleDOI
The Effect of Road Slope on Parameters of Disabled Vehicle Driven by PMDC Motor
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Identification of Electrical Faults in Underground Cables using Machine Learning Algorithm
TL;DR: Results demonstrate that the proposed hardware is highly capable of locating faults in underground transmission lines, and the convolutional neural network-based machine learning algorithm is adopted and validated using various performance metrics.
References
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Proceedings ArticleDOI
Wearable EMG-based HCI for Electric-Powered Wheelchair Users with Motor Disabilities
TL;DR: Experimental results using the wearable EMG based HCI and the electric-powered wheelchair developed show the proposed wearable EMg-based HCI is feasible for the users with severe motor disabilities.
Proceedings ArticleDOI
Human-machine interface for wheelchair control with EMG and its evaluation
TL;DR: This paper classified the pre-defined motions such as rest case, forward movement, left movement, and right movement by fuzzy min-max neural networks (FMMNN) and shows the feasibility of EMG as an input interface for powered wheelchair.
Proceedings ArticleDOI
Guiding Wheelchair Motion Based on EOG Signals Using Tangent Bug Algorithm
TL;DR: This work proposes new method beside the classic method, to control the motorized wheelchair using EOG signals, which allows the user to look around freely while the wheelchair navigates automatically to the desired goal point.
Implementation of Head and Finger Movement Based Automatic Wheel Chair
TL;DR: The wheel chair has been mimicked using a robot and a contribution may be made to facilitating movement and to making this increasingly simple and vigorous, so that it becomes similar to that of people who do not suffer deficiencies.
Sensor Based Eye Controlled Automated Wheelchair
Shreyasi Samanta,R Dayana +1 more
TL;DR: In this paper, a wheel chair based on eye gesture is discussed, which can move the wheel chair left or right by just looking to the required direction, they can also start and stop the wheel wheel chair, with other eye gestures.