Using Wearable Sensors for Sex Classification and Age Estimation from Walking Patterns

Using Wearable Sensors for Sex Classification and Age Estimation from Walking Patterns

Gait refers to the walking pattern of an individual and it varies from person to person. Consequently, it can be considered to be a biometric feature, similar to the face, iris, or fingerprints, and can easily be used for human identification purposes. Person identification using gait analysis has d...

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Bibliographic Details
Main Authors: Rizvan Jawad Ruhan, Tahsin Wahid, Ashikur Rahman, Abderrahmane Leshob, Raqeebir Rab
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
gait analysis
smartphone
wearable sensor
motion tracking
machine learning
sex classification
Online Access:https://www.mdpi.com/1424-8220/25/11/3509
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