Proceedings ArticleDOI
Online hand gesture recognition & classification for deaf & dumb
Nitesh S. Soni,M. S. Nagmode,R. D. Komati +2 more
- pp 1-4
TLDR
The proposed system helps non-sign-language speakers in recognising gestures used in American Sign Language by using Euclidean Distance with the training sets and will enable non- Sign Language speakers to better understand and communicate with those with impaired hearing.Abstract:
Sign language is widely used by individuals with hearing impairment to communicate with each other conveniently using hand gestures. However, non-sign-language speakers find it very difficult to communicate with those with speech or hearing impairment since it interpreters are not readily available at all times. Many countries have their own sign language, such as American Sign Language (ASL) which is mainly used in the United States and the English-speaking part of Canada. The proposed system helps non-sign-language speakers in recognising gestures used in American Sign Language. The system described in this paper is implemented using MATLAB. In this approach, firstly, the signs are captured using a webcam. The images captured are then processed further and the features are extracted from the captured images using PCA. Comparison of the features is done using Euclidean Distance with the training sets. Minimum Euclidean distance helps to recognise the character. This system will enable non-sign-language speakers to better understand and communicate with those with impaired hearing.read more
Citations
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Bangladeshi hand sign language recognition from video
TL;DR: This framework has proposed a system for recognizing the Bangladeshi hand sign language of words and sentences and translating the signs into text with static hand images which have been generated from input videos and the proposed method outperforms the existing works.
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Morse Codes Enter Using Finger Gesture Recognition
Ricky Li,Minh Nguyen,Wei Qi Yan +2 more
TL;DR: A prototype combined together the principle of old Morse code with finger gesture recognition in digital image computing and will recognize the finger gestures from these frames and convert the corresponding Morse codes to readable ASCII letters or emotional symbols.
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Sensing Textures: Tactile Resistance
Afroditi Psarra,Sadaf Sadri,Esteban Agosin,Grace Barar,Rylie Sweem,Cindy Xu,Ruoxi Song,Zoe Kaputa +7 more
TL;DR: Sensing Textures: Tactile Resistance is a collection of eight swatches comprised of e-textile sensors and actuators that probe ideas around the politics of crafting handmade technological artifacts as mentioned in this paper.
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Neural Network Implementation of Divers Sign Language Recognition based on Eight Hu-Moment Parameters
TL;DR: Divers sign language, a type of communication usually done underwater, is the primary focus of this paper, and recognition of 13 commonly used hand signals is implemented with the help of image processing and artificial neural network.
References
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Proceedings ArticleDOI
Design and development of hand gesture recognition system for speech impaired people
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TL;DR: The gestures illustrated by the Indian sign language symbols will be conquered with the support of the flex sensors and accelerometer to produce the appropriate voice words with the help of the speaker.
Proceedings ArticleDOI
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P Raghu Veera Chowdary,M Nagendra Babu,Thadigotla Venkata Subbareddy,Bommepalli Madhava Reddy,V. Elamaran +4 more
TL;DR: This paper is confined to identification of hand postures and to establish a man-machine interaction to create a simple communication path between human and computer called HCI (Human Computer Interaction).