IEEE

MCGC-Net: Multi-scale Controllable Graph Convolutional Network on Music Emotion Recognition

Abstract: This paper introduces a novel dynamic graph learning approach for frequency graphs, underpinned by a suite of baseline methodologies and the Multi-scale Controllable Graph Convolutional ...
IEEE

Recognition of Eye Diseases Based on Convolutional Neural Networks (CNN)

Abstract: In this study, a convolutional neural network (CNN)-based method for eye disease recognition is proposed, aiming to identify multiple common eye diseases through automatic analysis of fundus ...
IEEE

Toward Real-World ECG-Based Human Activity Recognition: Optimal Window Size and Subject-Independent 1-D CNN Approach

Abstract: Human activity recognition (HAR) is essential for advancing healthcare, fitness, and patient monitoring because it provides critical insights into human physical movements. This study ...
IEEE

Human Motion Recognition Based on Videos and Radar Spectrograms in Cross-Target Scenarios

Abstract: Multisensor fusion combines the benefits of each sensor, resulting in a thorough and reliable motion recognition even in challenging measurement environments. Meanwhile, even with the ...
IEEE

Reaction Rumble : A Facial Expression Recognition Application using CNN

Abstract: However, CNNs and SSD MobileNet serve a slightly different plane of purpose. Their main adaptability lies in the differentiation of features of face landmarks at various levels, such as eyes ...
IEEE

Audio-Visual Speech and Gesture Recognition using Dual Sampling Residual Attention CNN on Mobile Devices

Abstract: Speech and gesture recognition has become a critical feature in this day’s applications and is critical in accessibility and learning and human-computer interfaces. However, real-scene ...
IEEE

Human Activity Recognition with FMCW Radar Using Few-Shot Learning on Raspberry Pi

Abstract: This study introduces a deep-learning framework for Human Activity Recognition (HAR) using spectrogram representations of FMCW radar data. Leveraging a publicly accessible dataset (DOI: ...
IEEE

StealthPhase: Towards a Stealthy Backdoor Attack Against Speaker Recognition

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 ...
IEEE

Radio Frequency Fingerprint Recognition Method Based on Adaptive Energy Path Integrated Projection and Trans-MAML Method

Abstract: In wireless communications, radio frequency fingerprint identification (RFFI) leverages unique hardware characteristics for device recognition. This paper proposes an innovative few-shot ...
IEEE

Emotion Recognition from Speech Signals by Mel-Spectrogram and a CNN-RNN

Abstract: Speech emotion recognition (SER) in health applications can offer several benefits by providing insights into the emotional well-being of individuals. In this work, we propose a method for ...
IEEE

Speech Emotion Detection from Audios: Analysis of Individual Performance of LSTM and CNN Models

Abstract: The rising demand for Speech Emotion Recognition (SER) systems in fields like human-computer interaction and mental health monitoring has driven substantial research progress. This study ...
IEEE

Federated Quantum Kernel-Based Long Short-Term Memory for Human Activity Recognition

Abstract: In this work, we introduce the Federated Quantum Kernel-Based Long Short-term Memory (Fed-QK-LSTM) framework, integrating the quantum kernel methods and Long Shortterm Memory into federated ...