Robotics & Machine Learning Daily News2024,Issue(Oct.24) :52-53.

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)

Robotics & Machine Learning Daily News2024,Issue(Oct.24) :52-53.

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)

扫码查看

Abstract

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.”

Key words

Stony Brook/New York/United States/North and Central America/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/State University of New York (SUNY) Stony Brook

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文