@inproceedings{35eee55b2a4b41d7a056357bb8f69588,
title = "Audio-visual emotion recognition in adult attachment interview",
abstract = "Automatic multimodal recognition of spontaneous affective expressions is a largely unexplored and challenging problem. In this paper, we explore audio-visual emotion recognition in a realistic human conversation setting - Adult Attachment Interview (AAI). Based on the assumption that facial expression and vocal expression be at the same coarse affective states, positive and negative emotion sequences are labeled according to Facial Action Coding System Emotion Codes. Facial texture in visual channel and prosody in audio channel are integrated in the framework of Adaboost multi-stream hidden Markov model (AMHMM) in which Adaboost learning scheme is used to build component HMM fusion. Our approach is evaluated in the preliminary AAI spontaneous emotion recognition experiments.",
keywords = "Affect recognition, Affective computing, Emotion recognition, Multimodal human-computer interaction",
author = "Zhihong Zeng and Yuxiao Hu and Yun Fu and Huang, {Thomas S.} and Roisman, {Glenn I.} and Zhen Wen",
year = "2006",
doi = "10.1145/1180995.1181028",
language = "English (US)",
isbn = "159593541X",
series = "ICMI'06: 8th International Conference on Multimodal Interfaces, Conference Proceeding",
pages = "139--145",
booktitle = "ICMI'06",
note = "ICMI'06: 8th International Conference on Multimodal Interfaces ; Conference date: 02-11-2006 Through 04-11-2006",
}