Gender Detection Based on Gait Data: A Deep Learning Approach With Synthetic Data Generation and Continuous Wavelet Transform

Gender Detection Based on Gait Data: A Deep Learning Approach With Synthetic Data Generation and Continuous Wavelet Transform

Smart devices equipped with various sensors enable the acquisition of users’ behavioral biometrics. These sensor data capture variations in users’ interactions with the devices, which can be analyzed to extract valuable information such as user activity, age group, and gender....

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Bibliographic Details
Main Authors: Erhan Davarci, Emin Anarim
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Biometrics
continuous wavelet transform
convolutional neural networks
frequency domain
gender detection
generative adversarial networks
Online Access:https://ieeexplore.ieee.org/document/10268949/

Internet

https://ieeexplore.ieee.org/document/10268949/

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