An EEG-controlled wheelchair project using TGAM Neurosky Mindwave EEG sensor + android + arduino

Part 1: Drawing key lessons

• The team chose a noble cause that could help change someone's life!

• Original problem of helping a quadriplegic person to move did not line up with some of the ideas during brainstorming.

• The team has shown great effort in research for the suitable components and the execution of preparing the code and prototype for the system to function.

Part 2: Exploring Possibilities

• While the prototype lacks reliability and precision, the concept has potential as the students have pointed out.

• The process of converting EEG signals to useful input for the wheelchair is not simple and there is ongoing research in higher institutions addressing this issue.

• Hopefully this project can inspire students and become an expert in field in the future!