Human machine interface for computer using brain waves

Traditional Human-Machine Interface (HMI) devices have generally used human motor movements as source of input to perform corresponding output commands and functions. Keyboards and mice have long been the de facto writing and pointing input devices respectively, but these are not very friendly towards people with motor disabilities, motor impairment, diseases such as Paralysis, Muscular dystrophy, Polio, Cerebral palsy, et cetra. Since these devices are being used since inception of computers, they have potential to be replaced by far more convenient methods that can improve the HMI experience and ultimately quality of life. These new methods can either completely replace the existing methods or supplement the current ones or stay as alternatives or else they could also be used as backup when a preferred HMI system fails. We can utilize new and emerging technologies such as Brain-Machine Interface (BMI) and Machine Learning (ML) to design a far better solution for HMI than current existing ones. Using BMI and ML we can also ensure that these are friendly towards the aforementioned people who are not able-bodied.