This work introduces a systematic evaluation framework for static HGR that combines transfer learning with a fuzzy logic expert system to provide a reproducible and transparent ranking of candidate models, and an evidence-based comparison of classical versus modern CNN architectures in static HGR.
Hand gesture recognition based on video data plays a key role in enabling natural and intuitive human–machine interaction. However, existing approaches often struggle with ambiguous gesture patterns, particularly during transitional states between actions, where visual similarity leads to frequent misclassification. Th...
Vo Tu Duong, An Minh Luong, Ta Nguyen Duc Dung et al.· IEEE International Conferenc...· 0 citations
A mirror-aware skeleton representation strategy is introduced by modeling the structural correspondence between left- and right-hand keypoints, which reduces the distribution differences caused by hand-side variations and improves the generalization ability under few-shot conditions.
Ya-Xu Xue, Fei-Fei Ru, Jiawu He et al.· Symmetry· 0 citations
Advances in artificial intelligence have made hand gesture recognition an important human–computer interaction modality. Graph convolutional networks (GCNs) are widely used for skeleton-based hand gesture recognition, yet their performance can be limited by weak semantic topology modeling, underused feature channels, a...
Xiaowei Han, Ting-Shan Yan, Yunjing Lu et al.· Electronics· 0 citations
The core contribution is the adaptive temporal weighting (ATW) module, which dynamically learns the importance of each temporal segment and enhances the representation of key behavior phases, and is adopted to achieve efficient global feature aggregation.
Xinlu Wang, Wenwei Song, Zhixue Wang et al.· Signal, Image and Video Proc...· 0 citations
This study reviews and compares various CNN versions for gesture detection along with their uses and suggests a number of key points allocated for the skeletal representation of the hand is crucial to achieve 3 Dimensional estimation of a hand gesture.
Sanjay R Pawar, Rameez Shamalik, Nazim Mahammad Shaikh et al.· ITEGAM- Journal of Engineeri...· 0 citations
This study proposes speech command classification using MFCC features and SVM with GridSearchCV hyperparameter optimization. Evaluating RBF/linear kernels, C (0.1-100), and gamma (0.001-scale) on Google Speech Commands Dataset (8 classes), the optimal configuration (RBF, $\mathbf{C}=\mathbf{1 0}$, gamma=0.01) as the be...
Santoso, T. Sardjono, D. Purwanto· International Seminar on Int...· 0 citations
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