Results 11 to 20 of about 3,697,351 (295)

Voice Feature Extraction for Gender and Emotion Recognition [PDF]

open access: yesITM Web of Conferences, 2021
Voice recognition plays a key function in spoken communication that facilitates identifying the emotions of a person that reflects within the voice. Gender classification through speech is a popular Human Computer Interaction (HCI) method on account that
Nashipudimath Madhu M.   +4 more
doaj   +1 more source

Gender Recognition Based on Hand Thermal Characteristic

open access: yesActa Informatica Pragensia, 2022
Automatic gender recognition is one of the frequently solved tasks in computer vision. It is useful for analysing human behaviour, intelligent monitoring or security. In this article, gender is recognized based on multispectral images of the hand.
Katerina Prihodova
doaj   +1 more source

Gender and region detection from human voice using the three-layer feature extraction method with 1D CNN

open access: yesJournal of Information and Telecommunication, 2022
Analysing the human voice has always been a challenge to the engineering society for various purposes such as product review, emotional state detection, developing AI, and much more.
Mohammad Amaz Uddin   +3 more
doaj   +1 more source

Gender-Specific Characteristics for Hand-Vein Biometric Recognition: Analysis and Exploitation

open access: yesIEEE Access, 2023
In recent years, vein-based biometric recognition has received ever-increasing attention from both academia and industry, due to the advantages it offers over traditional biometric traits such as fingerprint, iris, and face.
Ridvan Salih Kuzu   +2 more
doaj   +1 more source

Pedestrian Gender Recognition by Style Transfer of Visible-Light Image to Infrared-Light Image Based on an Attention-Guided Generative Adversarial Network

open access: yesMathematics, 2021
Gender recognition of pedestrians in uncontrolled outdoor environments, such as intelligent surveillance scenarios, involves various problems in terms of performance degradation.
Na Rae Baek   +3 more
doaj   +1 more source

Gender recognition from body [PDF]

open access: yesProceedings of the 16th ACM international conference on Multimedia, 2008
This paper studies the problem of recognizing gender from full body images. This problem has not been addressed before, partly because of the variant nature of human bodies and clothing that can bring tough difficulties. However, gender recognition has high application potentials, e.g.
Liangliang Cao   +3 more
openaire   +2 more sources

Gender Differences in Recognition for Group Work [PDF]

open access: yesJournal of Political Economy, 2021
We study whether gender influences credit attribution for group work using observational data and two experiments. We use data from academic economists to test whether coauthorship matters differently for tenure for men and women. We find that, conditional on quality and other observables, men are tenured similarly regardless of whether they coauthor ...
Sarsons, Heather   +3 more
openaire   +4 more sources

A Deep Learning-based Model for Gender Recognition in Mobile Devices [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2023
Gender recognition is an attractive research area in recent years. To make a user-friendly application for gender recognition, having an accurate, fast, and lightweight model applicable in a mobile device is necessary.
Fatemeh Alinezhad   +2 more
doaj   +1 more source

Comparative Perspectives on Gender Equality in Japan and Norway [PDF]

open access: yes, 2022
This book compares perspectives on gender equality in Norway and Japan, focusing on family, education, media, and sexuality and reproduction as seen through a gendered lens.

core   +2 more sources

Enhanced Gender Recognition System Using an Improved Histogram of Oriented Gradient (HOG) Feature from Quality Assessment of Visible Light and Thermal Images of the Human Body

open access: yesSensors, 2016
With higher demand from users, surveillance systems are currently being designed to provide more information about the observed scene, such as the appearance of objects, types of objects, and other information extracted from detected objects.
Dat Tien Nguyen, Kang Ryoung Park
doaj   +1 more source

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