Automated detection of smiles as discrete episodes.

Hisham MohammedReginald KumarHamza BennaniJamin B HalberstadtMauro Farella

Published in: Journal of oral rehabilitation (2022)

Features of smiles such as frequency, duration, genuineness, and intensity can be automatedly assessed with an acceptable level of accuracy. The software can be used to investigate the impact of oral conditions and their rehabilitation on smiles.

Keyphrases

machine learning
deep learning
high throughput
high intensity
loop mediated isothermal amplification
real time pcr