Many deaf people have significant reading problems. Written content, e.g. on internet pages, is therefore not fully accessible for them. Embodied agents have the potential to communicate in the native language of this cultural group: sign language. However, state-of-the-art systems have limited comprehensibility and standard evaluation methods are missing. In this paper, we present methods and discuss challenges for the creation and evaluation of a signing avatar. [1]

Figure 1. Avatar Sign Language Interpreters

Figure 1 shows it translate texts into various sign languages and make the digital world accessible to the deaf. Avatar Sign Language Interpreters is extremely efficiently and cost-effectively. [2]

Key Facts

• Avatar uses AI to translate text into Sign Language.
• The solution currently has 8 different Sign Languages - 6 in Arabic, British and American.
• Avatar provides accessible content in Sign Language for websites, social media and printed material.
• The mobile app is used by 250,000 people worldwide.
• Avatar’s web interpreter has been used 2.5 million times.[3]

Key Features

Avatar interprets text and translates it into Sign Language by using animated smart interpreting avatars based on AI. Currently we have 8 different Sign Languages including 6 different Arabic Sign Languages, British and American Sign Language.

Social Impact

Avatar was developed to make content accessible in Sign Language for 80% of the deaf community who can’t read beyond a very basic level and to help governments and organizations become accessible for the deaf.

Avatar provides accessible content in Sign Language for websites, social media and printed material through different products, including

• Website Interpreter
• Facebook Interpreter
• Twitter Interpreter
• Accessible QR Codes
• Mobile interpreting applications

Mobile applications are used by over 250,000 users worldwide, website interpreters are used by over 12 governmental entities in the UAE, several private and semi-governmental entities in Jordan, with over 2.5 million sessions performed using the web interpreters.

Main Target Group

Governmental entities and large private sector entities who are active in social responsibility initiatives.

Main User

The deaf community.

References:

1. https://link.springer.com/chapter/10.1007/978-3-642-23974-8_13
2. https://wsa-global.org/winner/simax-the-sign-language-avatar-system/#:~:text=SiMAX%20is%20the%20first%203D,clip%20for%20instance%20for%20websites.
3. https://empowering-people-network.siemens-stiftung.org/solutions/avatar-sign-language-interpreters-avatar/

Cite this article:

Nithyasri S (2022), Avatar Sign Language Interpreters, Anatechmaz, pp. 105