An Avatar-based Interface for the Italian Sign Language

Lombardo, V.; Battaglino, Cristina; Damiano, Rossana; Nunnari, Fabrizio

doi:10.1109/cisis.2011.97

Cited by 19 publications

(13 citation statements)

References 10 publications

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“…A variety of work has been carried out in different sign languages for aforesaid purpose. Research is still on for various unaddressed linguistic issues and animation improvement [29], [30], [31]. Though some of the animation generation systems targeting ISL are explored, potential systems designed for other sign languages are also discussed.…”

Section: Sign Language Animationmentioning

confidence: 99%

Towards establishing a mute communication: An Indian Sign Language perspective

Kane

Khanna

2012

2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)

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To automate the communication between a deaf and a hearing person, both channels i.e. from deaf to hearing and vice-versa must be emphasized equally. Sign Language Recognition System helps to understand the sign language gestures made by a deaf, while a Sign Language Animation System enables a deaf person to interpret a hearing person who does not know sign language. In this survey, various techniques to implement these two systems are explored and compared separately. Though Indian Sign language (ISL) is in focus, research work in other sign languages is explored as well.Index Terms-Indian Sign Language (ISL), sign language recognition, sign language animation, signing avatar.

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Section: Sign Language Animationmentioning

confidence: 99%

Towards establishing a mute communication: An Indian Sign Language perspective

Kane

Khanna

2012

2012 4th International Conference on Intelligent Human Computer Interaction (IHCI)

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“…[10], [11], [12], [13], [16], [18] and [23] developed devices such as smart gloves, kinekt™ based gesture tracking and avatar based translation for various sign languages. Each system had its own advantages and disadvantages being a localized approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Estimation of Hidden Neuron Requisite for Predictive Conversion from Sign Language to a Formal Language

2021

IJETER

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Using sign language for communication has existed since millennia and has evolved over the ages to support the hearing impaired to a great extent. There have been numerous wonderful inventions and innovations aimed at improving the living conidtions of the hearing or speech impaired using technology which was contemporary. However, till date there exists no standard that can be shown as a single universal sign language translation system. This is partially due to the research happening in small pockets and lack of technology penetration in some countries. Largely the efforts to design translation are concentrated on Americal Sign Language (ASL) and Thai Sign Language (TSL). Other than the two, Indonasian Sign Language (SIBI) is the front runner in standardising a translation system. In our previous paper we had attempted to develop an ANN based translator for ASL. The system performed as per expectations. However, since the number of hidden neurons was taken as a variable, the estimation still remained a challenge.In this paper, we have developed a system to estimate the number of hidden neurons required for the accurate translation of ASL

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“…al., 2010), Germany (Kipp et. al., 2011) Poland (Francik and Fabian, 2002) or Italy (Lombardo et. al., 2011).…”

Section: Related Workmentioning

confidence: 99%

Providing Accessibility to Hearing-disabled by a Basque to Sign Language Translation System

Carretero

Urteaga

Ardanza

et al. 2014

Proceedings of the 6th International Conference on Agents and Artificial Intelligence

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Translation between spoken languages and Sign Languages is especially weak regarding minority languages; hence, audiovisual material in these languages is usually out of reach for people with a hearing impairment. This paper presents a domain-specific Basque text to Spanish Sign Language (LSE) translation system. It has a modular architecture with (1) a text-to-Sign Language translation module using a Rule-Based translation approach, (2) a gesture capture system combining two motion capture system to create an internal (3) sign dictionary, (4) an animation engine and a (5) rendering module. The result of the translation is performed by a virtual interpreter that executes the concatenation of the signs according to the grammatical rules in LSE; for a better LSE interpretation, its face and body expressions change according to the emotion to be expressed. A first prototype has been tested by LSE experts with preliminary satisfactory results.

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An Avatar-based Interface for the Italian Sign Language

Cited by 19 publications

References 10 publications

Towards establishing a mute communication: An Indian Sign Language perspective

Towards establishing a mute communication: An Indian Sign Language perspective

Estimation of Hidden Neuron Requisite for Predictive Conversion from Sign Language to a Formal Language

Providing Accessibility to Hearing-disabled by a Basque to Sign Language Translation System

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