Results 241 to 250 of about 5,341,863 (279)

Machine Learning and Deep Learning Approaches for Arabic Sign Language Recognition: A Decade Systematic Literature Review. [PDF]

Sensors (Basel)
Alayed A.
europepmc   +1 more source

IoT-driven smart assistive communication system for the hearing impaired with hybrid deep learning models for sign language recognition. [PDF]

Sci Rep
Maashi M, Iskandar HG, Rizwanullah M.
europepmc   +1 more source

Efhamni: A Deep Learning-Based Saudi Sign Language Recognition Application. [PDF]

Sensors (Basel)
Al Khuzayem L, Shafi S, Aljahdali S, Alkhamesie R, Alzamzami O.   +4 more
europepmc   +1 more source

Type-2 Neutrosophic Markov Chain Model for Subject-Independent Sign Language Recognition: A New Uncertainty-Aware Soft Sensor Paradigm. [PDF]

Sensors (Basel)
Al-Saidi M, Ballagi Á, Hassen OA, Saad SM.   +3 more
europepmc   +1 more source

Innovative hand pose based sign language recognition using hybrid metaheuristic optimization algorithms with deep learning model for hearing impaired persons. [PDF]

Sci Rep
Alabduallah B, Al Dayil R, Al Dayil R, Alkharashi A, Alneil AA.   +4 more
europepmc   +1 more source

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Sign language recognition

2007 9th International Symposium on Signal Processing and Its Applications, 2007
In this paper, an image processing algorithm is presented for the interpretation of the Taiwanese sign language, which is one of the sign languages used by the majority of the deaf community. The process involves two layer classifications. At first, coarse classification is done according to detection of hand motion and tracking the hand location and ...
Maryam Pahlevanzadeh, Mansour Vafadoost, Majid Shahnazi   +2 more
openaire   +2 more sources

Sign language recognition

2016 3rd International Conference on Recent Advances in Information Technology (RAIT), 2016
This paper presents a novel system to aid in communicating with those having vocal and hearing disabilities. It discusses an improved method for sign language recognition and conversion of speech to signs. The algorithm devised is capable of extracting signs from video sequences under minimally cluttered and dynamic background using skin color ...
Anup Kumar, Karun Thankachan, Mevin M. Dominic   +2 more
openaire   +1 more source

Australian sign language recognition

Machine Vision and Applications, 2005
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and extracts features for the recognition of sign phrases. Tracking is performed using correspondences of simple geometrical features between the target objects within the current ...
Eun-Jung Holden, Gareth Lee, Robyn A. Owens   +2 more
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A Survey on Sign Language Recognition

2011 Frontiers of Information Technology, 2011
Sign Language (SL) recognition is getting more and more attention of the researchers due to its widespread applicability in many fields. This paper is based on the survey of the current research trends in the field of SL recognition to highlight the current status of different research aspects of the area.
Sumaira Kausar, Muhammad Younus Javed
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Sign Language Number Recognition

2009 Fifth International Joint Conference on INC, IMS and IDC, 2009
Sign language number recognition system lays down foundation for handshape recognition which addresses real and current problems in signing in the deaf community and leads to practical applications. The input for the sign language number recognition system is 5000 Filipino Sign Language number video file with 640 x 480 pixels frame size and 15 frame ...
Iwan Njoto Sandjaja, Nelson Marcos
openaire   +1 more source