Indian sign language recognition

Deora, Divya; Bajaj, Nikesh

doi:10.1109/et2ecn.2012.6470093

Cited by 48 publications

(6 citation statements)

References 2 publications

(2 reference statements)

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“…Though this method has high accuracy in hand gesture recognition, wearing gloves is cumbersome and quite expensive for users. Later, 77 proposed an instrumented glove‐based approach for recognizing numbers and alphabets of ISL. Here, the users wore red and blue colored glove for easy segmentation during data acquisition achieving accuracy of 94% on static gestures.…”

Section: Overview Of Hand‐crafted Feature Sign Language Recognition M...mentioning

confidence: 99%

A review on computational methods based automated sign language recognition system for hearing and speech impaired community

Robert

Hemanth

2023

Concurrency and Computation

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Summary The recent advancements in computer vision and deep learning have led to promising progress in various motion detection and gesture recognition methods. Thriving efforts in the field of sign language recognition (SLR) during recent years led to interaction between humans and computer systems. Contributing a real‐time automated Sign Language recognition system will be a remarkable treasure for hearing and speech‐impaired people that will break the barriers of interaction with the real world. Albeit several research works are accomplished in sign language recognition, there is still a demand for developing a real‐time automated sign language recognition system. Compared to other methodologies, the techniques adopted may have advantages and disadvantages, and they vary from researcher to researcher. There are still some issues with employing these SLR models and procedures regularly, even though numerous research studies have been conducted to determine the most acceptable methods and models for sign language recognition. It gets more expensive and difficult in terms of resources when the developed automated SLR system becomes available as a product. Hence, for the welfare of the hearing and speech‐impaired community, the researchers are still endeavoring way to find a cost‐effective method. This work brings forth the challenges faced by scientists in developing a cost‐effective commercial prototype for the hearing and speech‐impaired community. This paper also explores and analyses various deep learning techniques and methods used in developing a sign language recognition system. The objective behind this work is to identify the best method which produces high accuracy in developing a cost‐effective sign language recognition system aiding communication between signers and non‐signers so that they can be a part of growing technology.

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Section: Overview Of Hand‐crafted Feature Sign Language Recognition M...mentioning

confidence: 99%

A review on computational methods based automated sign language recognition system for hearing and speech impaired community

Robert

Hemanth

2023

Concurrency and Computation

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“…Statistical machine translation models were not suitable for this system because there is no standard source of ISL corpus. [12], [13], [15], [16], and [18] have talked about Indian Sign Language. Authors of [17] have proposed Markov model for Hand-Movement Trajectory.…”

Section: Related Workmentioning

confidence: 99%

Speech to Indian Sign Language Translator

Kulkarni¹,

Kariyal²,

Dhanush³

et al. 2021

Atlantis Highlights in Computer Sciences

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A Sign Language is a non-verbal communication system in which people communicates by visually transferring sign patterns to express their meaning. A large section of the hearing and speech impaired in India uses Indian Sign Language (ISL) as their mode of communication. Recognition of sign language was significant not only from a technical standpoint but also in terms of societal influence. An automatic speech-to-ISL translation system could help the hearingimpaired access more information and services due to the inherent limitations of communicating through written texts. Furthermore, the system can be utilised as an educational tool to learn ISL in addition to improving information access. This paper intends to bridge the gap by providing a system that anybody can use without having to learn ISL.

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“…In a genuine circumstance, when ordinary individuals encounter with deaf people, disclosure deterioration arises scheduled to different styles of communication. ASL requires utilize of a person's hands so in case something happens where a wrist was sprained and it debilitates that individual from talking [9]. Sign di- alect deciphering is one of the highest-risk callings for ergonomic injury.…”

Section: System Designmentioning

confidence: 99%

Sign Language Translator Using YOLO Algorithm

Bhavadharshini¹,

J²,

Kamali³

et al. 2021

Advances in Parallel Computing Technologies and Applications

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Sign language is a terminology that encloses a motion of hand gestures which is an environment for the auditory impairment, individual (deaf or dumb) to deal with others. Nevertheless, so as to impart with the hearing impaired individual, the communicator obtains to acquire acquaintance in sign language. As follows is frequent to make undoubted that the message provided by the hearing impaired person acknowledged. This implemented system propounds an implementation of real time American Sign Language perception in Convolutional Neural Network (CNN) with the support of You Only Look Once version (YOLO) algorithm. The algorithm initially executes data acquisition, subsequently the pre-processing of gestures and are conducted to trace hand movement utilize a combinational algorithm.

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Indian sign language recognition

Cited by 48 publications

References 2 publications

A review on computational methods based automated sign language recognition system for hearing and speech impaired community

A review on computational methods based automated sign language recognition system for hearing and speech impaired community

Speech to Indian Sign Language Translator

Sign Language Translator Using YOLO Algorithm

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