TY - GEN
T1 - Estimation system for human-interest degree while watching TV commercials using EEG
AU - Negishi, Yuna
AU - Dou, Zhang
AU - Mitsukura, Yasue
PY - 2011/11/28
Y1 - 2011/11/28
N2 - In this paper, we propose an estimation system for the human-interest degree while watching TV commercials using the electroencephalogram(EEG). When we use this system, we can estimate the human-interest degree easily, sequentially, and simply. In particular, we measure the EEG using a simple electroencephalograph and survey the human-interest degree using questionnaires in a scale. For construction this estimation system, we investigate the relationship between the EEG and the result of questionnaires. In order to evaluate our estimation system, we show results of experiments using real TV commercials.
AB - In this paper, we propose an estimation system for the human-interest degree while watching TV commercials using the electroencephalogram(EEG). When we use this system, we can estimate the human-interest degree easily, sequentially, and simply. In particular, we measure the EEG using a simple electroencephalograph and survey the human-interest degree using questionnaires in a scale. For construction this estimation system, we investigate the relationship between the EEG and the result of questionnaires. In order to evaluate our estimation system, we show results of experiments using real TV commercials.
KW - TV commercial
KW - electroencephalogram(EEG)
KW - human-interest
UR - http://www.scopus.com/inward/record.url?scp=81855226523&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=81855226523&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24955-6_6
DO - 10.1007/978-3-642-24955-6_6
M3 - Conference contribution
AN - SCOPUS:81855226523
SN - 9783642249549
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 46
EP - 53
BT - Neural Information Processing - 18th International Conference, ICONIP 2011, Proceedings
T2 - 18th International Conference on Neural Information Processing, ICONIP 2011
Y2 - 13 November 2011 through 17 November 2011
ER -