On September 29, the Science and Technology Committee of Shanghai Muicipality accepted an SJTU project as part of their technology creation initiative. The project is led by Prof.  Lu Bao-Liang from the MOE-Microsoft Key Laboratory of Intelligent Computing and Intelligent Systems of the department; it studies key techniques for a driver alertness monitoring system.

The project takes full advantage of SJTU's multidisciplinary nature. Staff and students from the department of computer science and engineering, micro-nano science research institute, micro-electronics school, software school, and department of electronic science and engineering worked on it. Key academic players included professors Di Chen, Jingquan Liu, Guoxing Wang, and Zhengwei Qi.

The main research outputs of the project consist of, 1) Using state-of-the-art micro-nano processing technology, a wireless and wearable dry electrode EEG cap was designed and developed for user alertness monitoring, 2) micro EEG amplifier with high amplification and wireless EEG signal transfer set, 3) using time-series information from alertness transfer, EEG feature extraction algorithms and alertness estimation model were proposed and developed based on different EEG models for alertness at different levels, 4) EOG collection approaches on forehead proposed for the first time.

The research outputs of the project are the kernel component of a Brain-computer interaction multi-modal driver tiredness monitoring system, will participate in China Industry Expo 2011 that is held in Shanghai from November 1 to 5. Prof. Lu introduced how the system works and product proceeding to the media in a press coference on university achievements organized by the Shanghai Education Committee on October 24. In recent days, the outcome was reported by Wenhui Po, Guangming website,  Youth Daily and Evening News and aroused the concern of the community. The experimental scenario of the system is in the following photo.