Abstract: A generative inter-subject transfer learning apparatus includes: a data input unit for receiving source data and target data; a preprocessing unit for removing outliers from the source data and augmenting data; a first encoding unit for generating a feature vector of the source data received from the preprocessing unit and a feature vector of the target data; a generation unit for generating transfer data by reconfiguring the feature vector of the source data, and trained so that a domain of the source data follows a domain of the target data; a second encoding unit for generating a feature vector of the transfer data; and a classification unit for classifying the feature vector of the transfer data generated by the second encoding unit, and trained so that a classification result of the transfer data matches a classification result of the source data.

Abstract: Provided is a brain-machine interface based intention determination device using a virtual environment, including: an input unit that receives a control mode; a training output unit that outputs training information; a collection unit that collects a brain signal; a first preprocessing unit that extracts time-frequency information; a second preprocessing unit that generates physical information; a learning unit that learns control information according to a pattern of physical information; a determination unit that determines control information; and a command output unit that outputs a control command matching the control information.

Abstract: Provided is a smart control device including: a collection unit that collects a brain signal generated from a visual stimulus for color; a preprocessing unit that extracts pattern information from the brain signal; a selection unit that selects reference information having the highest correlation by comparing the pattern information to reference information provided in advance; and a control unit that has control commands set in advance and executes the control command matching the selected reference information.

Abstract: Provided is a brain-machine interface based intention determination device using a virtual environment, including: an input unit that receives a control mode; a training output unit that outputs training information; a collection unit that collects a brain signal; a first preprocessing unit that extracts time-frequency information; a second preprocessing unit that generates physical information; a learning unit that learns control information according to a pattern of physical information; a determination unit that determines control information; and a command output unit that outputs a control command matching the control information.

Abstract: Provided is a smart control device including: a collection unit that collects a brain signal generated from a visual stimulus for color; a preprocessing unit that extracts pattern information from the brain signal; a selection unit that selects reference information having the highest correlation by comparing the pattern information to reference information provided in advance; and a control unit that has control commands set in advance and executes the control command matching the selected reference information.