首页|Findings from State University of New York (SUNY) Stony Brook Provides New Data on Robotics (Decoding Silent Speech Cues From Muscular Biopotential Signals for Efficient Human-robot Collaborations)
Findings from State University of New York (SUNY) Stony Brook Provides New Data on Robotics (Decoding Silent Speech Cues From Muscular Biopotential Signals for Efficient Human-robot Collaborations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Robotics is now available. According to news reporting originating from Stony Brook, New York, by NewsR x correspondents, research stated, “Silent speech interfaces offer an alternative and efficient communication modality for individuals with voice disorders and when the vocalized speech communication is compromised by noisy environments. Despite the recent progress in developing silent speech interfaces, these systems face several challenges that prevent their wide acceptance, such as bulkiness, obtrusiveness, and immobility.”
Stony BrookNew YorkUnited StatesNorth and Central AmericaEmerging TechnologiesMachine LearningRobotRoboticsRobotsState University of New York (SUNY) Stony Brook
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