Unsupervised Clustering and Ensemble Learning for Classifying Lip Articulation in Fingerspelling

Unsupervised Clustering and Ensemble Learning for Classifying Lip Articulation in Fingerspelling

This paper presents a new methodology for analyzing lip articulation during fingerspelling aimed at extracting robust visual patterns that can overcome the inherent ambiguity and variability of lip shape. The proposed approach is based on unsupervised clustering of lip movement trajectories to ident...

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Bibliographic Details
Main Authors: Nurzada Amangeldy, Nazerke Gazizova, Marek Milosz, Bekbolat Kurmetbek, Aizhan Nazyrova, Akmaral Kassymova
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Sensors
Subjects:
lip articulation
trajectory clustering
fingerspelling
unsupervised learning
multimodal recognition
visual speech
Online Access:https://www.mdpi.com/1424-8220/25/12/3703
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