Deep learning-based bimodal speech and facial expression recognition of miners' unsafe emotions.
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| Title: | Deep learning-based bimodal speech and facial expression recognition of miners' unsafe emotions. |
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| Authors: | Lu Y; School of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, Hubei, China.; Hubei Industrial Safety Engineering Technology Research Center, Wuhan, Hubei, China.; School of Management, Fudan University, Shanghai, China., Zhao Z; School of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, Hubei, China., Yan L; Hubei Chemical Safety Association, Wuhan, Hubei, China., Shi X; School of Resource and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, Hubei, China. |
| Source: | PloS one [PLoS One] 2026 May 15; Vol. 21 (5), pp. e0348906. Date of Electronic Publication: 2026 May 15 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0348906 |
