Tecnológico de Monterrey Dataverse OAI Archive
metadata only
NPFC-Test 23A: A dataset for assessing neuronal, physiological, and facial coding attributes in a human-computer interaction learning scenario
This dataset was collected through the NPFC-Test experiment, focused on capturing neural, physiological, and facial coding modalities for assessing concentration and motivation in students. The experiment involved the use of advanced biometric sensors to monitor brainwaves, biomarkers, facial ges
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
- A multidimensional eye-tracking assessment for estimating cognitive profiles in intellectual disability: A preliminary deep learning study.#120048
- BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data#175110
- Neural mechanisms of video learning influenced by pedagogical agents' image and voice: an fNIRS study.#402511
- Monitoring the Effect of Mental Fatigue on Physical Performance Using Wearable Sensors and Physiological Parameters#879312
- Investigation of Psychophysiological Correlation of Aggression and Response to Aversive Stimuli#833105
Record · ID 1041570
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