Abstract: Conventionally, it is impossible to detect an object to which a person feels a similar sense based on latent consciousness. Detection of an object to which a person feels a similar sense is realizable by a brain information processing apparatus using high-level brain activity information indicating a latent consciousness. The brain information processing apparatus has stored therein one or more pieces of brain information that includes brain activity information, which is information on a brain activation level, and object information, and includes: an accepting unit that accepts brain activity information; an object information acquisition unit that acquires one or more pieces of object information associated with one or more pieces of brain activity information that is approximate to the brain activity information to the extent of satisfying a predetermined condition; and an output unit that outputs the object information acquired by the object information acquisition unit.

Abstract: What is provides is a brain activity deducing apparatus, a brain activity deducing method, a brain activity measuring apparatus, a brain activity measuring method, and a brain-machine interface device, capable of deducing a brain activity signal of a source subject. The information presentation device presents perceptible information to the first subject. The brain activity measurement device acquires a brain activity signal representing a brain activity of the first subject. The individual conversion device deduces a brain activity signal of the second subject from the acquired brain activity signal based on the individual conversion information, which correlates the brain activity signal of the first subject and the brain activity signal of the second subject.

Abstract: A machine control device includes: first decoders for estimating, from brain signal information, which one of body movements a user performs or images, based on learning using pairs of movements performed by the user and brain signal information, the body movements going toward one of first to nth body postures; second decoders for estimating from the brain signal information, an correct rate on the body movement estimation, based on learning using pairs of correct rates of the estimation of body movements and the brain signal information; and electric prosthetic arm control section for controlling an electric prosthetic arm to change stepwise its posture between first to nth postures via at least one intermediate posture therebetween, the first to nth postures corresponding to the first to nth body postures. The first decoders perform the estimation only when the estimated correct rate exceeds a threshold.

Abstract: What is provides is a brain activity deducing apparatus, a brain activity deducing method, a brain activity measuring apparatus, a brain activity measuring method, and a brain-machine interface device, capable of deducing a brain activity signal of a source subject. The information presentation device presents perceptible information to the first subject. The brain activity measurement device acquires a brain activity signal representing a brain activity of the first subject. The individual conversion device deduces a brain activity signal of the second subject from the acquired brain activity signal based on the individual conversion information, which correlates the brain activity signal of the first subject and the brain activity signal of the second subject.

Abstract: A machine control device includes: first decoders for estimating, from brain signal information, which one of body movements a user performs or images, based on learning using pairs of movements performed by the user and brain signal information, the body movements going toward one of first to nth body postures; second decoders for estimating from the brain signal information, an correct rate on the body movement estimation, based on learning using pairs of correct rates of the estimation of body movements and the brain signal information; and electric prosthetic arm control section for controlling an electric prosthetic arm to change stepwise its posture between first to nth postures via at least one intermediate posture therebetween, the first to nth postures corresponding to the first to nth body postures. The first decoders perform the estimation only when the estimated correct rate exceeds a threshold.