Algorithm Development for Film Rating using Human Bio-Feedback Data toward Content-Exploratory study of EEG and eye-tracking data equation
Mahnwoo Kwon, Hongin Cheng, Jae Woong Shim, Hajin Im
Available Online May 2016.
- 10.2991/amsm-16.2016.13How to use a DOI?
- EEG; eye-tracking; film rating
Most countries adopt film rating system for protect their children from bad content. But there are often disagree with the rating results because of subjective judging system. This study tried to develop evaluation algorithm for film rating using human response data like EEG and eye movement. Eye-tracking movement data suggest possibilities of making meaningful scale using sex and age differences. But EEG data suggest inconsistent result with brain hemisphere, position, and brain wave types. Further human subject's response data and DB needed to use EEG data for making film classification equation.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Mahnwoo Kwon AU - Hongin Cheng AU - Jae Woong Shim AU - Hajin Im PY - 2016/05 DA - 2016/05 TI - Algorithm Development for Film Rating using Human Bio-Feedback Data toward Content-Exploratory study of EEG and eye-tracking data equation BT - Proceedings of the 2016 International Conference on Applied Mathematics, Simulation and Modelling PB - Atlantis Press SP - 54 EP - 56 SN - 2352-538X UR - https://doi.org/10.2991/amsm-16.2016.13 DO - 10.2991/amsm-16.2016.13 ID - Kwon2016/05 ER -