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Joint collaborations with I2R: achieved the No. 2 position at MEC 2017 plus a paper accepted at ICMI 2017

September 14, 2017 | Project

In collaboration with the Institute for Infocomm Research (I2R), Panasonic R&D Center Singapore achieved the No. 2 position in the audio-visual emotion recognition sub-challenge of the Multimodal Emotion Recognition Challenge (MEC) 2017. The challenge (*1) is aimed at the comparison of multimedia processing and machine learning methods for automatic audio and visual emotion analysis.

Apart from this achievement, collaborating with I2R, Panasonic R&D Center Singapore also co-authored a paper titled “Audio-Visual Emotion Recognition using Deep Transfer Learning and Multiple Temporal Models”.

The paper, having been accepted at ACM International Conference on Multimodal Interaction (ICMI) 2017 (*2), presents the techniques used in our contribution to Emotion Recognition in the Wild (EmotiW) 2017 under the audio-video-based sub-challenge, the purpose of which is to classify the six basic emotions (angry, sad, happy, surprise, fear and disgust) and neutral.

<Supplemental information 1>

* Jointly organized by Institute of Automation, Chinese Academy of Science (CASIA), Technical Committee of Artificial Psychology and Artificial Emotion of Chinese Association for Artificial Intelligence (CAAI), Technical Committee of Human-Computer Interaction of China Computer Federation (CCF) and the Association for the Advancement of Affective Computing (AAAC)

<Supplemental information 2>

* ICMI 2017 to be held in Glasgow, Scotland, on 13-17th November 2017 is a premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development.