A camera-based attention level assessment tool designed for classroom usage
Author:
Funder
MOST
Publisher
Springer Science and Business Media LLC
Subject
Hardware and Architecture,Information Systems,Theoretical Computer Science,Software
Link
http://link.springer.com/article/10.1007/s11227-017-2122-7/fulltext.html
Reference10 articles.
1. Bunce DM, Flens EA, Neiles KY (2010) How long can students pay attention in class? A study of student attention decline using clickers. J Chem Educ 87:1438–1443. doi: 10.1021/ed100409p
2. Narayanan SA, Kaimal MR, Bijlani K, Prasanth M, Kumar KS (2014) Computer vision based attentiveness detection methods in e-learning. In: Proceedings of the 2014 international conference on interdisciplinary advances in applied computing—ICONIAAC’14. ACM Press, New York, pp 1–5
3. Hasegawa S, Erik L (2016) Relation between facial expression and user described episodic memory timeline in short movies. In: Proceedings of the 13th international conference on advances in computer entertainment technology—ACE2016. ACM Press, New York, pp 1–5
4. Feng R, Prabhakaran B (2016) On the face of things. In: Proceedings of the 2016 ACM on international conference on multimedia retrieval—ICMR’16. ACM Press, New York, pp 3–4
5. Li Y, Li X, Ratcliffe M, Liu L, Qi Y, Liu Q (2011) A real-time EEG-based BCI system for attention recognition in ubiquitous environment. In: Proceedings of 2011 international workshop on Ubiquitous affective awareness and intelligent interaction—UAAII’11. ACM Press, New York, p 33
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. STRAN: Student expression recognition based on spatio-temporal residual attention network in classroom teaching videos;Applied Intelligence;2023-08-07
2. A Review of Automatic Detection of Learner States in Four Typical Learning Scenarios;Adaptive Instructional Systems;2022
3. The application of image processing for monitoring student’s attention level during online class;Journal of Physics: Conference Series;2021-12-01
4. A Review of Attention Detection in Online Learning;Artificial Intelligence in Education and Teaching Assessment;2021
5. Accurate computing of facial expression recognition using a hybrid feature extraction technique;The Journal of Supercomputing;2020-10-30
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3