Structured hand gestures that incorporate visual motions and signs are used
in sign language. Sign language is a valuable means of daily communication for
individuals who are deaf or have speech impairments, but it is still rare among
hearing people, and fewer are capable of understand it. Within the academic
context, parents and teachers play a crucial role in supporting deaf students
from childhood by facilitating their learning of sign language. In the last
years, among all the teaching tools useful for learning sign language, the use
of Virtual Reality (VR) has increased, as it has been demonstrated to improve
retention, memory and attention during the learning process. The ISENSE project
has been created to assist students with deafness during their academic life by
proposing different technological tools for teaching sign language to the
hearing community in the academic context. As part of the ISENSE project, this
work aims to develop an application for Spanish and Italian sign language
recognition that exploits the VR environment to quickly and easily create a
comprehensive database of signs and an Artificial Intelligence (AI)-based
software to accurately classify and recognize static and dynamic signs: from
letters to sentences.

ISENSE 项目旨在为聋人学生提供不同的技术工具来在学术背景下教授手语，并通过利用虚拟现实环境开发一个应用程序，以快速易行地创建手语的综合数据库，并利用基于人工智能的软件来准确分类和识别静态和动态手语：从字母到句子。