Bridge Neuro Limited

Bridge Neuro aims to detect and measure the attention levels of SEN students so that teachers can adjust the training pace or tasks on the fly. They make use of an EEG headset to collect EEG signals from SEN students and then analyze the EEG signals during training by building an AI model to extract features for high and low attention levels. An attention detection system will be developed for teachers to conduct training sessions with SEN students.

Team Member(s)
WONG Chun Man Victor (School of Accounting and Finance)