Evaluation of transfer learning by means of fuzzy logic for hand gesture recognition

Hybrid Spatial–Kinematic Learning for Robust Hand Gesture Recognition Under Transition Ambiguity

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...

A Lightweight Dynamic Gesture Recognition Model Driven by Meta-Learning Under Small Sample Conditions

Dynamic gesture recognition under small-sample conditions remains challenging due to the large variations caused by users, viewpoints, motion patterns, and hand configurations. This study proposes a lightweight dynamic gesture recognition framework that integrates meta-learning, Neural Architecture Search (NAS), and kn...

Hand Gesture Recognition Based on Multi-Scale Attention Graph Convolutional Network

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...

Adaptive temporal weighting network for dynamic hand gesture authentication

Real-Time Hand Gesture Detection with 3-D Key Points Using Deep Learning

The importance of touchless systems for easier Human Machine Interaction (HMI) has been brought to light by recent pandemics. A key component of HMI, gesture detection represents a distinct class of useful computer vision applications. Outstanding outcomes in video processing are demonstrated by Convolutional Neural Ne...

Support Vector Machine Hyperparameter Optimization for Speech Command Classification Using Mfcc Features

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...