4.8 Article

A Novel Exploitative and Explorative GWO-SVM Algorithm for Smart Emotion Recognition

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Biomedical

Robust R-Peak Detection in Low-Quality Holter ECGs Using 1D Convolutional Neural Network

Muhammad Uzair Zahid et al.

Summary: The study proposes a generic and robust system for R-peak detection in Holter ECG signals using a 1D Convolutional Neural Network. Experimental results show high detection performance on two open-access ECG databases. The proposed approach significantly reduces false-positives and false-negatives in Holter ECG signals compared to competing methods.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2022)

Article Computer Science, Interdisciplinary Applications

Performance evaluation of hybrid GA-SVM and GWO-SVM models to predict earthquake-induced liquefaction potential of soil: a multi-dataset investigation

Jian Zhou et al.

Summary: This study proposes two support vector machine models for predicting soil liquefaction potential, optimized by genetic algorithm and grey wolf optimizer. The results show that the GWO-SVM model achieved the highest classification accuracy on three data sets and outperformed the GA-SVM model.

ENGINEERING WITH COMPUTERS (2022)

Article Computer Science, Information Systems

SSVEP-Based Emotion Recognition for IoT via Multiobjective Neural Architecture Search

Yipeng Du et al.

Summary: This article investigates emotion recognition in the SSVEP-based BCI system within the Internet of Things framework. With the neural architecture search algorithm, the accuracy and response speed of sentiment analysis are optimized. The experimental results demonstrate that the proposed method outperforms the baseline models in terms of accuracy and model size.

IEEE INTERNET OF THINGS JOURNAL (2022)

Article Computer Science, Artificial Intelligence

Self-Supervised ECG Representation Learning for Emotion Recognition

Pritam Sarkar et al.

Summary: We propose a self-supervised deep multi-task learning framework for emotion recognition based on electrocardiogram (ECG). By learning ECG representations through pretext tasks and transferring them to an emotion recognition network, our solution shows significantly improved performance compared to fully-supervised learning methods.

IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2022)

Article Engineering, Biomedical

Significant Low-Dimensional Spectral-Temporal Features for Seizure Detection

Xucun Yan et al.

Summary: Absence seizure is a common type of epilepsy that can easily be confused with attention-deficit hyperactivity disorder. Detecting the onset of seizures is challenging due to the unpredictable and non-stationary nature of seizure activities. This study proposes a novel detection framework based on low-dimensional spectral-temporal features, achieving superior performance in detecting absence seizures.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2022)

Article Computer Science, Artificial Intelligence

Negative-ResNet: noisy ambulatory electrocardiogram signal classification scheme

Zijiao Chen et al.

Summary: This study introduces a semi-supervised algorithm for training data samples with noisy labels, which uses selected positive learning and negative learning to improve accuracy.

NEURAL COMPUTING & APPLICATIONS (2021)

Article Computer Science, Information Systems

Hybrid Emotion-Aware Monitoring System Based on Brainwaves for Internet of Medical Things

Weizhi Meng et al.

Summary: Internet of Medical Things (IoMT) is developed to collect, analyze, and transmit medical data with smart sensors, but lacks emotional care, making efficient medical processes challenging. A proposed emotion-aware healthcare monitoring system in IoMT utilizes brainwave-based emotion detection and touch behavior analysis for emotion recognition. Research shows the potential effectiveness of this approach in detecting emotions like comfortable and uncomfortable, enhancing existing emotion-aware healthcare applications.

IEEE INTERNET OF THINGS JOURNAL (2021)

Article Computer Science, Artificial Intelligence

How to tune the RBF SVM hyperparameters? An empirical evaluation of 18 search algorithms

Jacques Wainer et al.

Summary: Selecting hyperparameters for SVM with RBF kernel is crucial for performance, with various algorithms available for this non-convex optimization problem. Empirical comparison shows that Parzen estimator and particle swarm optimization can find better hyperparameters with minimal increase in computation time, and excessive effort on hyperparameter search may not lead to better performance for future data.

ARTIFICIAL INTELLIGENCE REVIEW (2021)

Review Chemistry, Analytical

Electrocardiogram-Based Emotion Recognition Systems and Their Applications in Healthcare-A Review

Muhammad Anas Hasnul et al.

Summary: Affective computing integrates human affects and emotions with artificial intelligence in systems or devices. Systems or devices with affective computing are beneficial for mental health and wellbeing of individuals in stress, anguish, or depression. Emotion recognition systems, using various techniques and algorithms, are crucial technologies enabling affective computing.

SENSORS (2021)

Article Engineering, Electrical & Electronic

Wearable Electrocardiogram Signal Monitoring and Analysis Based on Convolutional Neural Network

Lu Meng et al.

Summary: Wearable devices are increasingly popular for monitoring heart conditions through electrocardiograms, but a lack of publicly available ECG data sets collected from wearable devices exists. A deep convolutional neural network approach was proposed to automatically classify and analyze ECG signals from wearable devices, achieving high accuracy in experiments and showing promise for effectively monitoring abnormal ECG in wearers.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2021)

Article Computer Science, Artificial Intelligence

Automatic ECG-Based Emotion Recognition in Music Listening

Yu-Liang Hsu et al.

IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2020)

Proceedings Paper Computer Science, Theory & Methods

Poster Abstract: An Implementation of an Internet of Things System for Smart Hospitals

Jichao Leng et al.

2020 ACM/IEEE FIFTH INTERNATIONAL CONFERENCE ON INTERNET OF THINGS DESIGN AND IMPLEMENTATION (IOTDI 2020) (2020)

Article Computer Science, Information Systems

Application of GWO-SVM Algorithm in Arc Detection of Pantograph

Bin Li et al.

IEEE ACCESS (2020)

Article Computer Science, Artificial Intelligence

Parameter investigation of support vector machine classifier with kernel functions

Alaa Tharwat

KNOWLEDGE AND INFORMATION SYSTEMS (2019)

Article Engineering, Chemical

An intelligent SVM modeling process for crude oil properties prediction based on a hybrid GA-PSO method

Kexin Bi et al.

CHINESE JOURNAL OF CHEMICAL ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

Hybrid deep neural networks for face emotion recognition

Neha Jain et al.

PATTERN RECOGNITION LETTERS (2018)

Review Chemistry, Analytical

A Review of Emotion Recognition Using Physiological Signals

Lin Shu et al.

SENSORS (2018)

Article Computer Science, Information Systems

Accumulate Then Transmit: Multiuser Scheduling in Full-Duplex Wireless-Powered IoT Systems

Di Zhai et al.

IEEE INTERNET OF THINGS JOURNAL (2018)

Proceedings Paper Computer Science, Cybernetics

Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection

Philip Schmidt et al.

ICMI'18: PROCEEDINGS OF THE 20TH ACM INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION (2018)

Article Engineering, Multidisciplinary

An Improved Grey Wolf Optimization Strategy Enhanced SVM and Its Application in Predicting the Second Major

Yan Wei et al.

MATHEMATICAL PROBLEMS IN ENGINEERING (2017)

Article Engineering, Electrical & Electronic

Network Code Division Multiplexing for Wireless Relay Networks

Jing Yue et al.

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS (2015)

Proceedings Paper Engineering, Electrical & Electronic

An Efficient Method to Face and Emotion Detection

Dolly Reney et al.

2015 FIFTH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT2015) (2015)

Proceedings Paper Computer Science, Artificial Intelligence

Feature Subset Selection Approach by Gray-Wolf Optimization

E. Emary et al.

AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT, AECIA 2014 (2015)

Article Computer Science, Interdisciplinary Applications

Grey Wolf Optimizer

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)

Article Engineering, Electrical & Electronic

Performance Analysis of Distributed Raptor Codes in Wireless Sensor Networks

Jing Yue et al.

IEEE TRANSACTIONS ON COMMUNICATIONS (2013)

Article Computer Science, Artificial Intelligence

ECG Pattern Analysis for Emotion Detection

Foteini Agrafioti et al.

IEEE TRANSACTIONS ON AFFECTIVE COMPUTING (2012)

Article Computer Science, Artificial Intelligence

Face recognition using the discrete cosine transform

ZM Hafed et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2001)