| Presentation | 2017-06-23 Satisfaction Estimation by Drinking Action using a 3D Convolutional Neural Network Tomofumi Nakano, Shohei Kato, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Companies and public entities administer customer satisfaction surveys to identify business problems. However, devising and analyzing questionnaires is burdensome for investigators, and answering questionnaires imposes a burden on customers. In addition, the response rate is frequently low. Here, to address these problems, we attempt to estimate customer satisfaction using sensing technology. We hypothesize that satisfaction can be discerned through facial expressions and body movements. To validate this hypothesis, we applied a three-dimensional convolution neural network to videos. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | 3D convolutional neural network / customer satisfaction / customer anticipation / perception correction hypotheses |
| Paper # | NC2017-10 |
| Date of Issue | 2017-06-16 (NC) |
| Conference Information | |
| Committee | NC / IPSJ-BIO / IBISML / IPSJ-MPS |
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| Conference Date | 2017/6/23(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Chair | Masafumi Hagiwara(Keio Univ.) / / Kenji Fukumizu(ISM) |
| Vice Chair | Yutaka Hirata(Chubu Univ.) / / Masashi Sugiyama(Univ. of Tokyo) |
| Secretary | Yutaka Hirata(Tokyo Inst. of Tech.) / (Nagoya Univ.) / Masashi Sugiyama / (Kyoto Univ.) |
| Assistant | Yoshihisa Shinozawa(Keio Univ.) / Keiichiro Inagaki(Chubu Univ.) / / Ichiro Takeuchi(Nagoya Inst. of Tech.) / Toshihiro Kamishima(AIST) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Special Interest Group on Bioinformatics and Genomics / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Mathematical Modeling and Problem Solving |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Satisfaction Estimation by Drinking Action using a 3D Convolutional Neural Network |
| Sub Title (in English) | |
| Keyword(1) | 3D convolutional neural network |
| Keyword(2) | customer satisfaction |
| Keyword(3) | customer anticipation |
| Keyword(4) | perception correction hypotheses |
| 1st Author's Name | Tomofumi Nakano |
| 1st Author's Affiliation | Nagoya Institute of Technology(NITech) |
| 2nd Author's Name | Shohei Kato |
| 2nd Author's Affiliation | Nagoya Institute of Technology(NITech) |
| Date | 2017-06-23 |
| Paper # | NC2017-10 |
| Volume (vol) | vol.117 |
| Number (no) | NC-109 |
| Page | pp.pp.33-38(NC), |
| #Pages | 6 |
| Date of Issue | 2017-06-16 (NC) |