mlsanityData to 7 Oct 2026

edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms

arXiv 2211.09210 ↗First posted 16 Nov 2022cs.HC cs.CVcited by 18

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Abstract (arXiv)

We present edBB-Demo, a demonstrator of an AI-powered research platform for student monitoring in remote education. The edBB platform aims to study the challenges associated to user recognition and behavior understanding in digital platforms. This platform has been developed for data collection, acquiring signals from a variety of sensors including keyboard, mouse, webcam, microphone, smartwatch, and an Electroencephalography band. The information captured from the sensors during the student sessions is modelled in a multimodal learning framework. The demonstrator includes: i) Biometric user authentication in an unsupervised environment; ii) Human action recognition based on remote video analysis; iii) Heart rate estimation from webcam video; and iv) Attention level estimation from facial expression analysis.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). Builds on 8 of its 13 references that are in the map. First posted on arXiv 16 Nov 2022.

Builds on

8 of 13 references.

References · 8

  1. 2020SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learningcited by 50
  2. 2021Biometrics: Trust, but Verifycited by 39
  3. 2020mEBAL: A Multimodal Database for Eye Blink Detection and Attention Level Estimationcited by 19
  4. 2021TypeNet: Deep Learning Keystroke Biometricscited by 19
  5. 2019edBB: Biometrics and Behavior for Assessing Remote Educationcited by 17
  6. 2021ALEBk: Feasibility Study of Attention Level Estimation via Blink Detection applied to e-Learningcited by 13
  7. 2020Heart Rate Estimation from Face Videos for Student Assessment: Experiments on edBBcited by 12
  8. 2020RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wildcited by 7

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 4; 2025: 8; 2026: 4.

18 papers.

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  1. 2023M2LADS: A System for Generating MultiModal Learning Analytics Dashboards in Open Educationcited by 15
  2. 2024VAAD: Visual Attention Analysis Dashboard applied to e-Learningcited by 12
  3. 2024A multimodal dataset for understanding the impact of mobile phones on remote online virtual educationcited by 11
  4. 2024Biometrics and Behavior Analysis for Detecting Distractions in e-Learningcited by 10
  5. 2025PBa-LLM: Privacy- and Bias-aware NLP using Named-Entity Recognition (NER)cited by 10
  6. 2023mEBAL2 Database and Benchmark: Image-based Multispectral Eyeblink Detectioncited by 9
  7. 2024DeepFace-Attention: Multimodal Face Biometrics for Attention Estimation with Application to e-Learningcited by 7
  8. 2025SMARTe-VR: Student Monitoring and Adaptive Response Technology for e-Learning in Virtual Realitycited by 6
  9. 2025AI-based Multimodal Biometrics for Detecting Smartphone Distractions: Application to Online Learningcited by 6
  10. 2025MOSAIC-F: A Framework for Enhancing Students' Oral Presentation Skills through Personalized Feedbackcited by 5
  11. 2026EduEVAL-DB: A Role-Based Dataset for Pedagogical Risk Evaluation in Educational Explanationscited by 4
  12. 2025M2LADS Demo: A System for Generating Multimodal Learning Analytics Dashboardscited by 3
6 more
  1. 2025Enhancing Online Learning by Integrating Biosensors and Multimodal Learning Analytics for Detecting and Predicting Student Behavior: A Reviewcited by 3
  2. 2025TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimizationcited by 2
  3. 2026A Multimodal Dataset of Student Oral Presentations with Sensors and Evaluation Datacited by 2
  4. 2026AIriskEval-edu: New Dataset for Risk Assessment in AI-mediated K-12 Educational Explanationscited by 2
  5. 2025Real-Time Multimodal Data Collection Using Smartwatches and Its Visualization in Educationcited by 1
  6. 2026AIriskEval-edu Demo: Auditing of Pedagogical Risks in Educational Explanationscited by 0