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Title: :  Recognition of Hand Movement for Paralytic Persons Based on a Neural Network
PaperId: :  14216
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 3 2021
DUI:    16.0415/IJARIIE-14216
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Anita B. BhoiG.H.Raisoni Institute of Engineering and Management, Jalgaon
Pragati S. PatilG.H.Raisoni Institute of Engineering and Management, Jalgaon
Mayuri V. AhirraoG.H.Raisoni Institute of Engineering and Management, Jalgaon
Harshad PatilG.H.Raisoni Institute of Engineering and Management, Jalgaon

Abstract

Computer Science and Engineering
Hand gestures, CNN, Edge Detection
Report in 2010 according to word health organization, there are more than 17,000,000 people infected with stoke yearly in all countries of the world as a result of the brain injury and prevent damage to the blood supply to the brain which leads to the injury that the patient is suffering of total paralysis or paraplegia and not able to do regular activities itself. Paralysed person loss of muscle function in part of body.it happens when something goes wrong with messages pass between brain and muscles in their body and in india the stroke rate is higher compared to other countries. To help the stoke patients out of its researchers have found a solution by creating hand gesture or sign that will help them perform daily functions easily and to for well communication with normal person. If paralysed patient wants to eat or something else, the system helps him to achieve what he wants. This method is the good way to help to the stroke patients and what they need , they want to eat or want to say something when the patient unable to walk due to stroke, and what feeling in complete paralysis, except his hands The Hand Gesture (HG) has become an alternative input devices such as a mouse and keyboard. The main aim is to read and detect the hand gesture by using high resolution cameras and process the image using convolution neural network by the process of edge detection. The proposed model is built by using convolutional neural network (CNN).

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IJARIIE Anita B. Bhoi, Pragati S. Patil, Mayuri V. Ahirrao, and Harshad Patil. "Recognition of Hand Movement for Paralytic Persons Based on a Neural Network" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 3 2021 Page 475-478
MLA Anita B. Bhoi, Pragati S. Patil, Mayuri V. Ahirrao, and Harshad Patil. "Recognition of Hand Movement for Paralytic Persons Based on a Neural Network." International Journal Of Advance Research And Innovative Ideas In Education 7.3(2021) : 475-478.
APA Anita B. Bhoi, Pragati S. Patil, Mayuri V. Ahirrao, & Harshad Patil. (2021). Recognition of Hand Movement for Paralytic Persons Based on a Neural Network. International Journal Of Advance Research And Innovative Ideas In Education, 7(3), 475-478.
Chicago Anita B. Bhoi, Pragati S. Patil, Mayuri V. Ahirrao, and Harshad Patil. "Recognition of Hand Movement for Paralytic Persons Based on a Neural Network." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 3 (2021) : 475-478.
Oxford Anita B. Bhoi, Pragati S. Patil, Mayuri V. Ahirrao, and Harshad Patil. 'Recognition of Hand Movement for Paralytic Persons Based on a Neural Network', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, 2021, p. 475-478. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Recognition_of_Hand_Movement_for_Paralytic_Persons_Based_on_a_Neural_Network_ijariie14216.pdf (Accessed : ).
Harvard Anita B. Bhoi, Pragati S. Patil, Mayuri V. Ahirrao, and Harshad Patil. (2021) 'Recognition of Hand Movement for Paralytic Persons Based on a Neural Network', International Journal Of Advance Research And Innovative Ideas In Education, 7(3), pp. 475-478IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Recognition_of_Hand_Movement_for_Paralytic_Persons_Based_on_a_Neural_Network_ijariie14216.pdf (Accessed : )
IEEE Anita B. Bhoi, Pragati S. Patil, Mayuri V. Ahirrao, and Harshad Patil, "Recognition of Hand Movement for Paralytic Persons Based on a Neural Network," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 3, pp. 475-478, May-Jun 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Recognition_of_Hand_Movement_for_Paralytic_Persons_Based_on_a_Neural_Network_ijariie14216.pdf [Accessed : ].
Turabian Anita B. Bhoi, Pragati S. Patil, Mayuri V. Ahirrao, and Harshad Patil. "Recognition of Hand Movement for Paralytic Persons Based on a Neural Network." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 3 ().
Vancouver Anita B. Bhoi, Pragati S. Patil, Mayuri V. Ahirrao, and Harshad Patil. Recognition of Hand Movement for Paralytic Persons Based on a Neural Network. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : ]; 7(3) : 475-478. Available from: https://ijariie.com/AdminUploadPdf/Recognition_of_Hand_Movement_for_Paralytic_Persons_Based_on_a_Neural_Network_ijariie14216.pdf
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