AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
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.
Dynamic hand gestures encode rich physiological and behavioral characteristics, providing a promising biometric trait for reliable authentication. Existing studies primarily improve gesture authentication by designing network architectures, constructing behavioral pseudo-modalities, and optimizing loss functions. Follo...
CDGaitFusion is introduced, a multimodal gait recognition framework that integrates shared motion patterns with individual-specific features that provides a reliable and extensible framework for mitigating gait feature degradation under complex real-world conditions.
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...
Deep learning (DL) has shown significant potential in device-free gesture recognition (DFGR), enabling contactless device control and intuitive human–robot interaction. However, DL-based methods usually require a large number of labeled samples for training. Since the collection of annotations for radar signals is time...
Facial Expression Recognition (FER) plays an important role in human-computer interaction (HCI). However, most highly accurate FER models rely on complex and computationally heavy architectures that makes them unsuitable for low resource devices. This study proposes a modified MobileNetV2-based lightweight network that...
Despite their incredible desired properties of invariance, reliability and robustness, directional optical flow-based features still do not receive the attention they deserve in gesture recognition literature. Moreover, robust human hand pose estimation remains one of the most challenging tasks, because of its inherent...
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