Abstract: In today's rapidly advancing era of intelligence and digitalization, gesture recognition, as a natural and efficient interaction method, has become an important research direction in the ...

Abstract: Gesture recognition, a crucial technology in human-computer interaction, finds applications across various domains, including smart homes, automotive driver assistance systems, and more.

Abstract: Motor imagery (MI) electroencephalography (EEG) has become a cornerstone of brain-computer interface (BCI) research due to its non-invasive nature and high temporal resolution. However, ...

Abstract: The identification and analysis of human daily activities has garnered substantial attention in recent years, driven by its expansive applications in areas including healthcare, surveillance ...

👋 Welcome to 5 Things PM! Excessive alcohol use is pretty common, with 17% of adults in the US reporting binge drinking. Researchers explain why some people can’t stop — even when they know it’s ...

The biggest chains in America are using facial recognition technology to try to stop shoplifting. But most customers are unaware their faces are being scanned while they shop. Facial recognition isn’t ...

Abstract: Knowledge distillation (KD) is a predominant technique to streamline deep-learning-based recognition models for practical underwater deployments. However, existing KD methods for underwater ...

Official TensorFlow/Keras implementation for the paper: "AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Phonocardiogram Classification" Summary: The automatic ...

Abstract: Deep learning-based object detectors have become increasingly critical in spectrogram-based wideband multi-signal detection, recognition, and time-frequency localization. Current methods ...

Abstract: Speaker recognition systems (SRS) play a vital role in identity authentication. At the same time, researchers have found that these systems are highly vulnerable to backdoor attacks, where ...