New Results
Using Computer-vision and Machine Learning to Automate Facial Coding of Positive and Negative Affect Intensity
View ORCID ProfileNathaniel Haines, View ORCID ProfileMatthew W. Southward, Jennifer S. Cheavens, Theodore Beauchaine, Woo-Young Ahn
doi: https://doi.org/10.1101/458380
Nathaniel Haines
1The Ohio State University
Matthew W. Southward
1The Ohio State University
Jennifer S. Cheavens
1The Ohio State University
Theodore Beauchaine
1The Ohio State University
Woo-Young Ahn
2Seoul National University
Article usage
Posted November 04, 2018.
Using Computer-vision and Machine Learning to Automate Facial Coding of Positive and Negative Affect Intensity
Nathaniel Haines, Matthew W. Southward, Jennifer S. Cheavens, Theodore Beauchaine, Woo-Young Ahn
bioRxiv 458380; doi: https://doi.org/10.1101/458380
Subject Area
Subject Areas
- Biochemistry (12726)
- Bioengineering (9596)
- Bioinformatics (31103)
- Biophysics (16009)
- Cancer Biology (13095)
- Cell Biology (18726)
- Clinical Trials (138)
- Developmental Biology (10132)
- Ecology (15123)
- Epidemiology (2067)
- Evolutionary Biology (19321)
- Genetics (12829)
- Genomics (17698)
- Immunology (12830)
- Microbiology (30037)
- Molecular Biology (12525)
- Neuroscience (65429)
- Paleontology (484)
- Pathology (2025)
- Pharmacology and Toxicology (3496)
- Physiology (5419)
- Plant Biology (11225)
- Synthetic Biology (3099)
- Systems Biology (7738)
- Zoology (1745)