scholarly journals Using a Low-Cost Playful Strategy to Present Sign Language on Non-Formal Educational Spaces

2019 ◽  
Vol 10 (06) ◽  
pp. 1230-1241
Author(s):  
Tathianna Prado Dawes ◽  
G. H. V. S. Alves ◽  
Helena Carla Castro ◽  
Andréia Santos Silva ◽  
Lucianne Fragel-Madeira
Keyword(s):  
Sign Language ◽  
Low Cost ◽  
Educational Spaces ◽  
Present Sign

Towards Low-cost Sign Language Gesture Recognition Leveraging Wearables

2020 ◽  
pp. 1-1 ◽  
Author(s):  
Tianming Zhao ◽  
Jian Liu ◽  
Yan Wang ◽  
Hongbo Liu ◽  
Yingying Chen
Keyword(s):  
Sign Language ◽  
Gesture Recognition ◽  
Low Cost

scholarly journals Colored Image Segmentation using K-Means Algorithm

2016 ◽  
Vol 15 (7) ◽  
pp. 6950-6956
Author(s):  
Ishita Vishnoi ◽  
Nikunj Khetan ◽  
Sreedevi Indu
Keyword(s):  
Image Segmentation ◽  
Sign Language ◽  
Background Subtraction ◽  
Skin Color ◽  
Recognition Accuracy ◽  
Low Cost ◽  
Human Beings ◽  
Computational Power ◽  
Impaired People ◽  
Natural Means

Hand gestures are natural means of communication for human beings and even more so for hearing and speech impaired people who communicate through sign language. Unfortunately, most people are not familiar with sign language and an interpreter is required to translate dialogues. Hence, there is a need to develop a low cost, easily implementable and efficient means to recognize sign language gestures to eliminate the interpreter and facilitate easier communication. The proposed work achieves a satisfactory recognition accuracy using in-built laptop webcam using combination of 3 skin color models(HSV,RGB,YCbCr) and background subtraction to eliminate noise from webcam low quality images to recognize sign language for helping the hearing and speech impaired in real-time without requiring too much computational power or any other device as it can be implemented in any laptop with a webcam.

Alternative communications in severe hearing loss and deafness

2020 ◽  
Vol 33 (1) ◽  
Author(s):  
Julia Pipiro-Belka ◽  
Anna Lobaczuk-Sitnik ◽  
Andrzej Sieskiewicz ◽  
Emilia Duchnowska ◽  
Bozena Kosztyla-Hojna ◽  
...  
Keyword(s):  
Sign Language ◽  
Speech Therapy ◽  
Emotional State ◽  
Communication Process ◽  
Communication Tool ◽  
Specific Topic ◽  
Spatial Form ◽  
Visual Spatial ◽  
Present Sign ◽  
Fear And Anxiety

Introduction. The essence of the communication process is the exchange of thoughts and sharing knowledge on a specific topic. Sign language is recognized as a full-fledged way of communication, not just a collection of signs used for communication. In accordance with the Act on Sign Language and Other Means of Communication, Polish Sign Language (PJM) is defined as a visual-spatial form of communication. Aim. The aim of the study was to present sign language as a communication tool for speech therapists. Material and methods. The study included 90 graduates of Speech Therapy and Phonoaudiology. Original questionnaire was used to collect information on the forms of using sign language and the methods of developing and applying the ability to communicate in sign language. Results. The analysis of the results shows that over 22% of the respondents use sign language on everyday basis. The most frequently reported emotional state related to the use of sign language was uncertainty (79%), other responses were fear and anxiety (37%), joy (11%) and calmness (5%) as well as confusion (5%). Additionally, 5% of respondents stated that in a given situation they felt no particular emotions. Conclusions. It has been shown that stress is a factor present in the majority of respondents when transmitting and receiving messages in sign language.

A New Type of Deaf-Mute Sign Language Recognition System Based on the Mobile Communciation Platform and Terminal Equipment

2013 ◽  
Vol 734-737 ◽  
pp. 2880-2886
Author(s):  
Si Ning Zhao ◽  
Mao Rong Wang ◽  
Zhen Wei
Keyword(s):  
Sign Language ◽  
Mobile Communication ◽  
Low Cost ◽  
Recognition System ◽  
Visual Methods ◽  
Language Recognition ◽  
Sign Language Recognition ◽  
New Type ◽  
Mobile Communication Terminal ◽  
Terminal Equipment

This paper presents a new type of deaf-mute sign language recognition system by combining mobile communication platform and the mobile communication terminal equipment. The system can implement the vision-based sign language recognition and translation. A Standard Sign Language Database is established in this system. Multi-national and multi-language sign language recognition can be completed by the following training using the database. In order to improve the accuracy of the recognition of similar sign language, an improved HMM sign language recognition method is used in this paper. The angle information of sign language which can be achieved by the traditional data-glove is introduced in the system on the basis of visual methods, makes the system taking into account these two recognition technology. The system can be implemented in ordinary mobile terminal equipment. Low cost and popularity of sign language recognition device can be realized. The deaf-mutes communicate for barrier-free anytime and anywhere by the application.

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