Emotion recognition system using short-term monitoring of physiological signals

Cited by (936)

Items 301–400 of 936

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5. Are anxiety and fear separable emotions in driving? A laboratory study of behavioural and physiological responses to different driving environments
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6. An analysis of smartphone overuse recognition in terms of emotions using brainwaves and deep learning
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7. Effect of Explicit Emotional Adaptation on Prosocial Behavior of Humans towards Robots depends on Prior Robot Experience
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8. Multimodal physiological signals from wearable sensors for affective computing: A systematic review
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9. FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers’ Emotion Recognition
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12. Investigating Biometric Response for Information Retrieval Applications
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13. Based on Support Vector Regression for emotion recognition using physiological signals
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16. Applied Affective Computing
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18. An emotional analysis method based on heart rate variability
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19. Composition and Generalization of Context Data for Privacy Preservation
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20. Effects of emotion on physiological signals
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21. Using affective and behavioural sensors to explore aspects of collaborative music making
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22. Toward Recognizing Individual's Subjective Emotion from Physiological Signals in Practical Application
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30. Emotion recognition from electrocardiogram signals using Hilbert Huang Transform
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31. A More Complete Picture of Emotion Using Electrocardiogram and Electrodermal Activity to Complement Cognitive Data
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32. Identifying Psychophysiological Correlates of Boredom and Negative Mood Induced During HCI
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35. How to interpret psychology from heart rate variability?
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36. Physiological signal-based emotion recognition system
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37. Biosignal-Based Multimodal Emotion Recognition in a Valence-Arousal Affective Framework Applied to Immersive Video Visualization
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38. Emotions on the Go
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39. EEG Emotion Classification Network Based on Attention Fusion of Multi-Channel Band Features
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40. Genetic search feature selection for affective modeling
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41. Measuring intent in human-robot cooperative manipulation
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42. Emotional stress recognition using a new fusion link between electroencephalogram and peripheral signals.
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43. A novel lightweight dynamic focusing convolutional neural network LAND-FCNN for EEG emotion recognition
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46. Exploring the influence of driver affective state and auditory display urgency on takeover performance in semi-automated vehicles: Experiment and modelling
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47. Wearable biomonitoring system for stress management: A preliminary study on robust ECG signal processing
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48. Emotion Recognition from Speech: A Survey
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49. FEEL: A System for Frequent Event and Electrodermal Activity Labeling
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50. Estimating Robot Induced Affective State using Hidden Markov Models
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51. Emotion Recognition Based on Physiological Signals
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52. Emotion Recognition from Non‐Frontal Facial Images
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53. Designing robots with care
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54. The Secret Language of Our Body
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55. Guard Your Heart Silently
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56. Development and Testing of a Multimodal Acquisition Platform for Human-Robot Interaction Affective Studies
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57. A biosignal-specific processing tool for machine learning and pattern recognition
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58. Modeling the 2D space of emotions based on the poincare plot of heart rate variability signal
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59. Recognizing Language and Emotional Tone from Music Lyrics using IBM Watson Tone Analyzer
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60. A Multimodal Music Recommendation System with Listeners' Personality and Physiological Signals
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61. Feature Extraction, Feature Selection and Classification from Electrocardiography to Emotions
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62. DiVA
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63. Stimulus Complexity Can Enhance Art Appreciation: Phenomenological and Psychophysiological Evidence for the Pleasure-Interest Model of Aesthetic Liking
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64. Emotion recognition based on a limited number of multimodal physiological signals channels
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65. A feedforward neural network for drone accident prediction from physiological signals
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66. Detecting naturalistic expression of emotions using physiological signals while playing video games
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70. Recognition of Shooter’s Emotions Under Stress Based on Affective Computing
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71. A Real-Time Cardiac Monitoring using a Multisensory Smart IoT System
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