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EEG-Based Detection of Starting and Stopping During Gait Cycle.

, , , , and . Int. J. Neural Syst., 26 (7): 1650029:1-1650029:13 (2016)

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Adaptive Learning Based on Affect Sensing., , , , , , , and . AIED (2), volume 10948 of Lecture Notes in Computer Science, page 475-479. Springer, (2018)Selection of the best mental tasks for a SVM-based BCI system., , , , , and . SMC, page 1483-1488. IEEE, (2014)Mental tasks selection method for a SVM-based BCI system., , , and . SysCon, page 767-771. IEEE, (2013)First steps in the development of an EEG-based system to detect intention of gait initiation., , , , and . SysCon, page 167-171. IEEE, (2014)EEG-Based Detection of Starting and Stopping During Gait Cycle., , , , and . Int. J. Neural Syst., 26 (7): 1650029:1-1650029:13 (2016)Linear decoding of 2D hand movements for target selection tasks using a non-invasive BCI system., , , and . SysCon, page 778-782. IEEE, (2013)Brain-Machine Interfaces for Assistive Robotics., , , and . Intelligent Assistive Robots, volume 106 of Springer Tracts in Advanced Robotics, Springer, (2015)Detection of intention of pedaling start cycle through EEG signals., , , , , and . EMBC, page 1496-1499. IEEE, (2016)Using EEG Signals to Detect the Intention of Walking Initiation and Stop., , , , and . IWINAC (1), volume 9107 of Lecture Notes in Computer Science, page 278-287. Springer, (2015)Control of a 2 DoF robot using a Brain-Machine Interface., , , and . Computer Methods and Programs in Biomedicine, 116 (2): 169-176 (2014)