Face Smile Detection and Cavernous Biometric Prediction using Perceptual User Interfaces (PUIs)

Hayder Ansaf, Sajjad Hussain, Hayder Najm, Oday Hassen

Abstract

Face identification and biometric analytics is a modern domain of study and enormous algorithms in this aspect. Perceptual interface can be described as: highly immersive, multi - modal interfaces focused on normal human-to - human interactions, with the purpose of allowing users to communicate with software in a similar way to how they communicate with one another and the physical environment. It is nowadays quite effectual in face smile detection. Smile detection is a two-stage process. First you feel a face and then wait for a grin and in thousands of zones a motion detector splits the clip, Analyzing criteria like auto focus and facial flash level. When a human smile, the camera identifies a facial defect by identifying various parameters, It involves shutting your eyes, making your teeth transparent, folding your mouth, and lifting your lips. You should adjust the camera parameters to increase the sensitivity of the Smile automatic feature. When participants (with bangs, etc.) do not cover their faces, especially their eyes, authentic smile recognition is more successful. Helmets, masks or sunglasses can also be obstructed. For your subjects, you should have a wide and open-mouthed smile. When the teeth are open and clear, the camera can even detect a smile better. The presented work focuses on analytics of face smile through Perceptual User Interfaces in biometric analytics for cumulative results.

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Paper Citation


in Harvard Style

Ansaf H., Hussain S., Najm H. and Hassen O. (2020). Face Smile Detection and Cavernous Biometric Prediction using Perceptual User Interfaces (PUIs).In Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES, ISBN 978-989-758-497-8, pages 62-68. DOI: 10.5220/0010412200620068


in Bibtex Style

@conference{icces20,
author={Hayder Ansaf and Sajjad Hussain and Hayder Najm and Oday Hassen},
title={Face Smile Detection and Cavernous Biometric Prediction using Perceptual User Interfaces (PUIs)},
booktitle={Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES,},
year={2020},
pages={62-68},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010412200620068},
isbn={978-989-758-497-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES,
TI - Face Smile Detection and Cavernous Biometric Prediction using Perceptual User Interfaces (PUIs)
SN - 978-989-758-497-8
AU - Ansaf H.
AU - Hussain S.
AU - Najm H.
AU - Hassen O.
PY - 2020
SP - 62
EP - 68
DO - 10.5220/0010412200620068