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....
Main Authors: | Erhan Davarci, Emin Anarim |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10268949/ |
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