In this review, brain-computer interface technologies based on a non-invasive electroencephalogram measurement for the livelihood support of disabled persons are described. The spatial resolution of the brain activity is relatively low in an invasive measurement, but a non-invasive measurement is safe and handy; therefore, non-invasive measurements are increasingly being used as living body sensors. On the other hand, brain-computer interface (BCI) technologies aim to accurately identify a person's intention at a high speed; and, complicated machine operations may extract a considerable amount of intention information as the switch information. In addition, by combining these technologies with robots and virtual reality, because BCI provides more faithful feedback, people with disabilities can even regain their kinesthetic sense.