The global epidemic has exacerbated the communication difficulties of deaf-mute people, making the application of sign language in higher education particularly important. In response to this situation, Professor Tian Yingli and his team developed an advanced visual system that can identify grammatical errors in American Sign Language in real time and provide learners with instant feedback, effectively improving learning efficiency. This research result has been published at top international conferences and attracted widespread attention, bringing new hope for sign language teaching and the social integration of deaf-mute people.
As global epidemic prevention exacerbates the social difficulties of deaf-mute people, the importance of sign language in higher education has become increasingly prominent. Professor Tian Yingli and his team developed a visual system that can identify grammatical errors in American Sign Language in real time and provide instant feedback to learners. Their research results have been presented at top conferences and received widespread attention. In the future, more technical paths will be explored to improve the performance of sign language recognition systems and promote the development of the sign language field.This innovative technology not only improves the efficiency of sign language learning, but also points the way for the future improvement and development of sign language recognition technology, bringing convenient communication and learning methods to more deaf-mute people and promoting their better integration into society. I believe that more similar technologies will appear in the future, benefiting more people in need.