@inproceedings{02b6e98071954c5db3b5148e900fcd48,
title = "Develop an Attention Recognition Mechanism on e-book reading system by brainwave and visual",
abstract = "Student's reading attention is highly related to their reading ability and learning performance. Traditionally, it is a difficult procedure that when teachers want to observe the reading attention state of each students. In recent years, sensing technology-based applications and learning methods emerge in the increasingly mature environment. Most studies have shown the effectiveness of sensor-assisted learning system in helping teachers observe students' learning state. In order to help teachers effectively observe students' learning attention, this study developed Attention Recognition Mechanism (ARM) on e-book reading system by brainwave and visual. To derive more insights from the participants of the ARM on e-book system, five teachers were enrolled in the interview study. They commented that using attention recognition mechanism on e-book reading system can help teachers monitor the student's reading attention state and provide suitable feedback.",
author = "Cheng, \{Pei Yu\} and Su, \{Yen Ning\} and Chien, \{Yu Cheng\} and Lai, \{Chia Hung\} and Chen, \{Guan Yu\} and Lu, \{I. Wei\} and Huang, \{Yueh Min\}",
year = "2016",
month = mar,
day = "21",
doi = "10.1109/ICSensT.2015.7438438",
language = "English",
series = "Proceedings of the International Conference on Sensing Technology, ICST",
publisher = "IEEE Computer Society",
pages = "438--442",
booktitle = "2015 9th International Conference on Sensing Technology, ICST 2015",
address = "United States",
note = "9th International Conference on Sensing Technology, ICST 2015 ; Conference date: 08-12-2015 Through 11-12-2015",
}