Built on Science
AuraTwin is grounded in decades of research in affective computing, psychology, and machine learning.
Academic Foundation
Developed as a senior design project at Yaşar University's Computer Engineering Department
Affective Computing
AuraTwin builds on research pioneered by MIT Media Lab's Rosalind Picard, who established affective computing as a field combining computer science, psychology, and cognitive science.
Our system recognizes that emotional awareness is key to well-being, and that technology can help people understand their emotional patterns in ways not possible through introspection alone.
Digital Twin Technology
Digital twins—virtual representations that mirror physical entities—have been used in manufacturing and IoT for years. AuraTwin applies this proven concept to human emotion.
By creating a continuously updated model of your emotional state, we enable longitudinal analysis and pattern recognition that would be impossible with snapshot assessments.
Developed Under Academic Supervision
This project was developed under the supervision of Doç. Dr. Mete Eminağaoğlu at Yaşar University's Computer Engineering Department. The development process followed rigorous academic standards including requirements specification, design documentation, and systematic testing.
Research & Technology
State-of-the-art machine learning for emotion recognition
AffectNet Dataset
The emotion recognition model used in AuraTwin is trained on AffectNet, one of the largest real-world facial expression datasets available. It covers a wide range of people, lighting conditions, and environments.
- •~450,000 real-world images collected from the internet
- •8 emotion categories: Happy, Sad, Angry, Surprised, Neutral, Fear, Disgust, Contempt
- •Natural, uncontrolled conditions — not posed or staged
- •High visual diversity across demographics, angles, and lighting
8 Detected Emotions
Backend Technology
- →Face Detection: OpenCV DNN Module
- →Detection Models: ResNet-10 SSD (Caffe)
- →Emotion Model: enet_b0_8_best_afew
- →Engine: ONNX Runtime
- →Hardware: AWS t2.micro Optimized
EfficientNet & ONNX
AuraTwin utilizes the enet_b0_8_best_afew model, an EfficientNet-B0 variant optimized for emotion recognition tasks. By deploying via ONNX Runtime, we achieve near-instant inference speeds.
For face detection, we leverage OpenCV's built-in DNN module with a ResNet-10 SSD architecture, ensuring robust and privacy-conscious face localization without heavy external dependencies.
Deployment Note: This stack is specifically chosen for its low memory footprint, allowing it to run smoothly on lightweight cloud infrastructure like AWS t2.micro.
Evidence-Based Benefits
How emotional awareness improves well-being
Mental Health Awareness
Early detection of negative emotional patterns can help identify potential mental health concerns before they escalate.
Studies show emotional tracking correlates with improved mood regulation and reduced anxiety.
Workplace Productivity
Understanding emotional patterns helps identify optimal work times and energy management strategies.
Research indicates emotional awareness contributes to better work-life balance and reduced burnout.
Personal Growth
Longitudinal emotional data reveals patterns and triggers that would be invisible through introspection alone.
Self-monitoring has been shown to increase emotional intelligence and self-awareness.
Stress Management
Identifying stress patterns and triggers enables proactive coping strategies.
Evidence supports emotion tracking as an effective stress reduction intervention.
Behavioral Change
Data-driven insights support evidence-based behavioral interventions tailored to individual patterns.
Quantified self-data has been linked to successful habit formation and behavior modification.
Relationship Insights
Understanding your emotional responses helps improve communication and relationship quality.
Emotional awareness is a key component of emotional intelligence and relationship satisfaction.
Transparency & Limitations
We believe in honest communication about what AuraTwin can and cannot do
What AuraTwin Is
- ✓A tool for emotional self-awareness and pattern recognition
- ✓A longitudinal emotional tracking system
- ✓A complement to professional mental health support
What AuraTwin Is Not
- ✗Not a medical device or diagnostic tool
- ✗Not a replacement for professional mental health care
- ✗Not a mind-reading or emotion prediction system with perfect accuracy
Important: If you are experiencing a mental health crisis or severe emotional distress, please contact a qualified mental health professional or crisis helpline. AuraTwin is designed for self-awareness and personal growth, not crisis intervention.
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