Today, our lab was delighted to take part in the General Linguistics information booth, held from 10:00 am to 5:00 pm at the Faculty Lounge (CPD 4.30), Run Run Shaw Tower. During the event, we showcased our Sign Language Demo featuring the Handshape Detection Machine Learning Model from our Hong Kong Sign Language (HKSL) project.
The demo introduced visitors to how we document HKSL and its rich visual characteristics, with a focus on developing a machine learning algorithm that can detect handshapes—one of the most important building blocks of sign language. By training our model on collected HKSL citation signs, the system is able to recognise handshapes rapidly and accurately.
The booth attracted many visitors with an interest in linguistics and sign language. We enjoyed engaging conversations and shared our research through live demonstrations. The positive response and curiosity from visitors made the event a rewarding and encouraging experience for our team.
