Recep Tayyip Erdoğan University Institutional Repository
metadata only
M ultimodal E motion D etection for E ducation and W ork E nvironment by U sing I mproved A rtificial I ntelligence M achine V ision S ystem
The use of artificial intelligence (AI) has significantly advanced emotion recognition within human-computer interaction (HCI). This paper aims to develop a multimodal emotion detection system for educational and work environments using an enhanced AI machine vision system. The primary focus is on t
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Occlusion-Robust Multimodal Emotion Recognition in VR via Fusion of Facial Images and EMG#926478
- Cross-Modal Emotion Understanding: A Transformer-GAT Approach for Dialogue Emotion Recognition#1077484
- Affect recognition for handheld devices#369487
- Emotion recognition in human-computer interaction#6686
- Emo-DVS: A Multimodal Benchmark for Privacy-Aware Emotion Recognition with Event Cameras#975004
Record · ID 1237306
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive