In this paper, An EEG-based home automation and anomaly detection of physically challenged people has been designed using Neurosky Mind wave headset. This project has been implemented to make the automation easier and to detect abnormality of physically challenged people. The operation involves by collecting average thoughts in different states of mind as EEG (Electroencephalogram) waves using neurosky headset which has three electrodes connected to ear lobe and frontal lobe of the brain. The collected data are processed by a Brain Wave Automation/Anomaly Detection algorithm (BWAD) of each state like meditation, attention and eye blink using Raspberry pi. Based on the calibration of processed data are used to actuate the electronic appliances as well as to find the abnormality of physically challenged/impaired people.
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