Detection of Abnormal Behavioral States in Student Learning Based on Video Surveillance
Author:
Affiliation:
1. Xichang Minzu Preschool Normal College,Sichuan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10244768/10244782/10245238.pdf?arnumber=10245238
Reference20 articles.
1. Technology-based self-monitoring system for on-task behavior of students with disabilities: A quantitative meta-analysis of single-subject research;kyung kim;J Comput Assist Learn,2022
2. Examining Students’ Behavior in a Digital Simulation Game for Nurse Training
3. Understanding university students’ behavioral intention to use Edmodo through the lens of an extended technology acceptance model
4. Modeling and predicting students’ engagement behaviors using mixture Markov models
5. An Improved Optimal Channel Sensing Algorithm in Cognitive Radio Networks Used for Video Surveillance;joon;J Mobile Multimedia,2023
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