The Emotion Research System is an emotion analysis system that can analyze heart rate, facial expressions, gestures, content, and EEG data in real-time and offline.

System Requirements:

Windows 10 or higher / 8GB RAM or more / Product key (Serial number required)

Heart ERS

Emotion state analysis based on heart rate (BPM) and heart rate variability (HRV).

1. Web-camera-based rPPG technology applied.

2. Extraction of 13 variable values and pattern analysis:

   - BPM, SDNN, RMSSE, pNN50, VLF(InVLF). LF(InLF), HF(InHF), Total Power, VLF(%), HF(%), LF/HF, Coherence Ratio

3. Various emotional state results can be observed:

   - Stress, excitement, depression, etc.

Face ERS

Emotion state analysis based on facial landmarks (muscles, micro-movements, etc.).

1. Web-camera-based rPPG technology applied.

2. Recognition of 7 basic emotional facial expressions:

   - Neutral, happiness, sadness, surprise, anger, disgust, fear

3. Various applications for monitoring assistance in different fields:

   - Education: Service to assess student concentration and engagement.

   - Gaming: Adjusting game difficulty and personalizing the story based on emotional state.

   - Healthcare: Monitoring mental health conditions such as depression, anxiety, and stress.

Pose ERS

Emotion state analysis based on facial expressions and movements (hand position, angle, trajectory, etc.).

1. Web-camera-based rPPG technology applied.

2. Extraction of 14 key measurement points for the user's facial expressions and movements:

   - Neck, shoulders, elbows, spine, hips, knees, ankles.

3. Objective data can be provided in various environmental settings:

   - Gaming Environment: Assessing emotional state through the user's gestures.

   - Virtual Environment: Enhancing interactions based on emotional analysis.

   - Therapeutic Environment: Providing data on the patient's emotional state and movements.

Brain ERS

Offline emotion analysis based on TMSi equipment 64+.

1. Collection of 32 channels based on TMSi equipment 64+

2. Pattern analysis of four specific EEG frequency bands:

   - Delta, Theta, Alpha, Beta

3. Emotion analysis results in 9 dimensions:

   - Positive/Negative, Relaxation/Arousal, Neutral.

4. Visualization of brain activity areas in Topography form.

Contents ERS

Analysis of physical properties (color, frequency, brightness, etc.) in video footage.

1. Classification and analysis of the physical properties of images and sounds in the video.

2. Emotion analysis results in 9 dimensions:

   -Positive/Negative, Relaxation/Arousal, Neutral.

3. Can be used for creating and evaluating emotion-related video content.