RECS
The premium Open Source alternative to Affectiva
🎯 Best for:Research institutions studying the intersection of affect and learning.
What is RECS?
An AI framework that replaces manual student observation with automated emotion detection via physiological sensors. It processes real-time data streams to classify learner engagement and frustration levels during digital instruction.
Tech Stack
Jupyter NotebookAI, ML & Data
Why RECS?
- • Real-time classification
- • Multi-signal support
- • Research-oriented architecture
Limitations
- • Requires specialized hardware
- • High computational demand
- • Niche application
2/24/2026
Last Update
4
Forks
0
Issues
MIT
License
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Competitor Cost
-$1,440
/ year (est. based on Affectiva)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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