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Thermogel is an aqueous polymer solution that undergoes sol-to-gel transition as the temperature increases. Cells, growth factors, and signaling molecules can be incorporated simultaneously during the sol-to-gel transition. The cytocompatible procedure makes the thermogel an excellent platform for 3D culture of stem cells. This review focuses on the crucial questions that need to be addressed to achieve...
My PhD work aims at developing computational methodologies for automatic emotion recognition from audiovisual behavioral data. A main challenge in automatic emotion recognition is that human behavioral data are highly complex, due to multiple sources that vary and modulate behaviors. My goal is to provide computational frameworks for understanding and controlling for multiple sources of variation...
Human expressions are often ambiguous and unclear, resulting in disagreement or confusion among different human evaluators. In this paper, we investigate how audiovisual emotion recognition systems can leverage prototypicality, the level of agreement or confusion among human evaluators. We propose the use of a weighted Support Vector Machine to explicitly model the relationship between the prototypicality...
We propose a temporal segmentation and classification method that accounts for transition patterns between events of interest. We apply this method to automatically detect salient human action events from videos. A discriminative classifier (e.g., Support Vector Machine) is used to recognize human action events and an efficient dynamic programming algorithm is used to jointly determine the starting...
Automatic emotion recognition systems predict high-level affective content from low-level human-centered signal cues. These systems have seen great improvements in classification accuracy, due in part to advances in feature selection methods. However, many of these feature selection methods capture only linear relationships between features or alternatively require the use of labeled data. In this...
Human emotion changes continuously and sequentially. This results in dynamics intrinsic to affective communication. One of the goals of automatic emotion recognition research is to computationally represent and analyze these dynamic patterns. In this work, we focus on the global utterance-level dynamics. We are motivated by the hypothesis that global dynamics have emotion-specific variations that...
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