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About

Eric W. Cooper is a pioneering researcher at the intersection of brain-computer interfaces (BCIs), human-robot interaction, and affective computing. His work focuses on developing intuitive, non-verbal communication channels between humans and machines, with a particular emphasis on tactile and emotional modalities. Cooper’s most cited study, "Multi-command Tactile Brain Computer Interface: A Feasibility Study" (2013, 16 combined citations), demonstrated that tactile stimuli delivered to the fingertips could serve as a viable platform for BCI control, opening new possibilities for interactive applications like robotic vehicle operation. He further advanced human-robot communication by leveraging deep learning for facial expression recognition (2020, 7 citations), enabling robots to interpret human emotions naturally. In his recent work on modelling emotional valence and arousal of non-linguistic utterances (2022, 2 citations), Cooper explores how sound design can convey affect in robots and media, bridging engineering and psychology. His contributions are notable for their practical focus on accessibility and natural interaction, with cumulative citations reflecting growing interest in his innovative approaches to making technology more responsive to human emotional and physical cues.