edBB-Demo：在线教育平台的生物识别和行为分析
edBB-Demo: Biometrics and Behavior Analysis for Online Educational Platforms
摘要：
我们介绍了edBB-Demo，这是一个用于远程教育学生监控的人工智能研究平台的演示器。edBB平台旨在研究数字平台中与用户识别和行为理解相关的挑战。该平台专为数据汇集而开发，可从各种传感器（包括键盘、鼠标、网络摄像头、麦克风、智能手表和脑电图带）获取信号。在多模态学习框架中对学生会话期间从传感器捕获的信息进行建模。演示器包括：i）无监督环境中的生物特征用户认证; ii）基于远程视频分析的人类动作识别; iii）根据网络摄像头视频的心率估计;以及iv）根据面部表情分析的注意力水平估计。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
