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Emotion Research System
Heart, Face, Pose, Brain, Contents
Provides an emotion analysis system that supports both real-time and offline analysis.
With the Emotion Research System, various biosignals
can be used to recognize emotional states
and deliver appropriate feedback.
Integration of biosignals and artificial intelligence technology
Real-time analysis of users’ emotional states using
a camera-based system
Applicable in various fields
such as healthcare, education,
driving safety, and UI/UX design
Heart ERS
Emotion analysis based on heart rate (BPM) and heart rate variability (HRV)
Emotion analysis based on heart rate (BPM) and heart rate variability (HRV)
1. Application of rPPG technology using a web camera
2. Extraction and pattern analysis of 13 variables
- BPM, SDNN, RMSSE, pNN50, VLF(InVLF). LF(InLF), HF(InHF), Total Power, VLF(%), HF(%), LF/HF, Coh Ratio
3. Visualizations of various emotional states
- Stress, Arousal, and Depression
Face ERS
Emotion analysis based on facial landmark features
Analysis based on facial landmarks (muscle activity, micro-expressions, etc.)
1. Application of rPPG technology using a web camera
2. Recognition of 7 basic facial expressions
- Neutral, Happy, Sad, Surprised, Angry, Disgusted, Fearful
3. Used as an auxiliary monitoring tool across multiple fields
- Education: Services to assess students' focus and engagement
- Gaming: Adaptive game difficulty and personalized storylines based on emotional state
- Healthcare: Monitoring of mental health conditions such as depression, anxiety, and stress
Pose ERS
Emotion analysis based on facial expressions and body movement features
Analysis using features from facial expressions and body movements (e.g., hand position, angle, trajectory)
1. Extraction of 14 motion tracking points
- Neck, Shoulders, Elbows, Spine, Hips, Knees, Ankles
2. Enables objective data collection in various environments
- Gaming: Emotion recognition using player gestures
- Virtual environments: Enhancing interactions
- Therapeutic settings: Providing emotional and behavioral data for patients
Brain ERS
Offline emotion analysis using TMSi 64+ system
Offline emotion analysis using TMSi 64+ system
1. 32-channel signal acquisition with TMSi 64+ device
2. Pattern analysis across four EEG frequency bands
- Delta, Theta, Alpha, Beta
3. Emotion analysis across 9 dimensions
- Positive/Negative, Relaxation/Arousal, Neutral
4. Visualization of brain activation through topographic mapping
Contents ERS
Analysis of physical properties within video content
Analysis of visual and auditory physical properties (e.g., color, frequency, brightness) within videos
1. Classification and analysis of image and sound attributes in video content
2. Emotion analysis results across 9 dimensions
- Positive/Negative, Relaxation/Arousal, Neutral
3. Applicable for emotional content creation and evaluation
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