A Collaborative Web System for Mexican Sign Language: Content Validation Algorithm

The Mexican Sign Language (LSM) has allowed communication between deaf and non-deaf people; however, studying this language can bring some complications given its visual format. Although books represent signs on paper, there is no better learning than when the sign is recorded on video, and the movement and joints can be visualized in three dimensions. There are video repositories on the internet to search for signs or phrases; however, this information is disjointed, or the sites specialized in these topics have very few videos; in both cases, the search for signs and learning LSM becomes complicated. For this situation, a Collaborative Web System is proposed that allows searching for signs with text inputs and finding representative videos of the search. In this way, the research supports people in establishing communication with deaf people. Furthermore, the site is collaborative, as deaf and non-deaf people can collaborate by adding their knowledge about LSM. The testing stage simulated a user ranking and content validation algorithm. This simulation allowed adjustments to the algorithms before releasing the application to real users. With this proposal, we intend to generate a repository of audiovisual content that allows users to exploit other aspects of communication, such as the conversion of videos with signs to text or sound, which can be in recorded videos or real-time through mobile devices.