Non-Invasive Method to control a wheelchair using BCI

Electronics and Communication Engineering

Physically challenged people have certain difficulties from living a natural life. The main advantage or need for designing a smart wheel chair is mobility. There are products catering to disabled people to satisfy and also assist them to overcome the issues they face in moving from one place to another, in various ways. This is achieved by using a neurosky TGAM module and Arduino over Bluetooth communication. The ultimate outcome is to comfort and cater to a larger population of the physically challenged with a simpler, cheaper yet effective alternative. The system available for brain wave signal processing has a headset of single electrode which works on EEG sensors. The output of the system will monitor at meditation mode, eye blinks and attention mode. Sensor transmits a number of signals at different frequency levels and all the signals are not useful. From that extracting and analysis of useful frequency are more difficult. The use of electroencephalogram based systems that carry with a several number of electrodes which are high pricey models utilized in the hospitals which is such a tough method. The focus of this method will be based on this non-invasive EEG technique.

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