Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Human Emotion Recognition Based on Galvanic Skin Response Signal Feature Selection and SVM
The Analysis of Emotion Recognition from GSR Based on PSO
SVM based Emotional Speaker Recognition using MFCC-SDC Features
Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals
Emotion detection from EEG recordings
A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition
Automatic Speech Emotion Recognition using Support Vector Machine
Hyperdimensional biosignal processing: A case study for EMG-based hand gesture recognition
Emotion Recognition Using Bio-sensors: First Steps towards an Automatic System
Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks
Physiological-based emotion recognition with IRS model
Differential entropy feature for EEG-based emotion classification
EEG-based Emotion Recognition The Influence of Visual and Auditory Stimuli
Recognition of emotions using multimodal physiological signals and an ensemble deep learning model
Surface Electromyography Signal Processing and Classification Techniques
Emotion recognition from physiological signals using wireless sensors for presence technologies
Emotion recognition through wireless signal
Distance and mutual information methods for EMG feature and channel subset selection for classification of hand movements
Emotional State Recognition Using Advanced Machine Learning Techniques on EEG Data
Analysis of physiological signals for recognition of boredom, pain, and surprise emotions
Design of a Wearable Device for Reading Positive Expressions from Facial EMG Signals
E-SATISFACTION AND E-LOYALTY OF CONSUMERS SHOPPING ONLINE
Toward Machine Emotional Intelligence: Analysis of Affective Physiological State
Community Deception or: How to Stop Fearing Community Detection Algorithms
A framework for performance measurement in the e-business environment
spatio - temporal graph convolutional networks : a deep learning framework for traffic forecasting .