Brain Machine Interface 脑机接口

Team members: Ang Wei Jun / Jway Jin Jun / Kevin Tan Kang Rui / Lam Teng Foong / Suen Hung Ying, Sidney / Tay Renjie / Teo Si-yan When humans think and feel, small electric signals zip from neuron to neuron. These signals can be detected in specific regions of the brain through a technique known as electroencephalograph (EEG). Group M, a mixture of aspiring EPD and ISTD students, aims to come up with a product that leverages on EEG technology. The desired outcome is a Brain Machine Interface (BMI) , in which a person can control the output of the device (such as an eletrical wheel chair) through mental thought alone. Stay tuned to our our blog as we share our latest developments as well as other exciting things we will be doing during ALP!