The human body communicates through various meaningful gestures, with sign language using hands being a prominent example. Bangla Sign Language Translation (BSLT) aims to bridge communication gaps for the deaf and mute community. Our approach involves using Mediapipe Holistic to gather key points, LSTM architecture for data training, and Computer Vision for realtime sign language detection with an accuracy of 94%. Keywords=Recurrent Neural Network, LSTM, Computer Vision, Bangla font.

Baidu AI Cloud launched a sign language platform on Thursday, able to generate digital avatars for sign language translation and live interpretation within minutes. Released as a new offering of Baidu AI Cloud's digital avatar platform XiLing, this new product aims to help break down communication barriers for the deaf and hard-of-hearing (DHH) community by boosting the accessibility of automated sign language translation. An AI sign language interpreter developed using the platform will perform its duties during the upcoming 2022 Beijing Winter Paralympic Games. Also released with the platform on Thursday were two all-in-one AI sign language translators, providing one-stop solutions with a streamlined set-up process and plug-and-use features. With the technological changes brought by AI, production and operational costs of digital avatars have been reduced to a significant degree, making it possible for AI sign language to scale up and serve more DHH individuals, said Tian Wu, Baidu Corporate Vice President.

Apple has long taken accessibility seriously. Just spend five minutes in the relevant section of your iPhone's settings and you'll find a veritable trove of helpful settings -- many of them useful to everyone. Today, the company is ready to announce a host of new tools across its ecosystem of products. Perhaps the most impactful is SignTime. Initially, SignTime will be available for the most obvious ways of contacting the company: customer service.

Handwriting will never be the same again. A new glove developed at the University of California, San Diego, can convert the 26 letters of American Sign Language (ASL) into text on a smartphone or computer screen. Because it's cheaper and more portable than other automatic sign language translators on the market, it could be a game changer. People in the deaf community will be able to communicate effortlessly with those who don't understand their language. ASL is a language all of its own, but few people outside the deaf community speak it.