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Standing-Posture Recognition in Human–Robot Collaboration Based on Deep Learning and the Dempster–Shafer Evidence Theory

During human–robot collaborations (HRC), robot systems must accurately perceive the actions and intentions of humans. The present study proposes the classification of standing postures from standing-pressure images, by which a robot system can predict the intended actions of human workers in an HRC...

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Detalles Bibliográficos
Autores principales: Li, Guan, Liu, Zhifeng, Cai, Ligang, Yan, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070947/
https://www.ncbi.nlm.nih.gov/pubmed/32093206
http://dx.doi.org/10.3390/s20041158