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This paper presents a new methodology for detecting deterioration in performance of deep neural networks when applied to on line visual analysis problems and enabling fine-tuning, or retraining, of the network to the current data characteristics. Pre-trained deep neural networks which have a satisfactory performance on the problem under study constitute the basis of the approach, with efficient transfer...
The work presented in this paper investigates the significance of natural elicitation of emotions during the development of simulated full blown emotion speech databases emotion analysis. A subset of primary emotions such as anger, happy and sad emotions along with neutral utterances are used in the present work. The first part of the work discusses the development of a simulated full blown emotion...
Human emotional expression tends to evolve in a structured manner in the sense that certain emotional evolution patterns, i.e., anger to anger, are more probable than others, e.g., anger to happiness. Furthermore the perception of an emotional display can be affected by recent emotional displays. Therefore, the emotional content of past and future observations could offer relevant temporal context...
Emotion recognition systems could support professionals in a wide range of areas. Several work in emotion recognition has been carried out in the last decades, yet few attention has been payed to cross-culture context emotion recognition. Multimodal emotional expressions from 36 subjects with different cultural backgrounds were collected. In the experiment, participants observed and assessed emotional...
Incorporating multimodal information and temporal context from speakers during an emotional dialog can contribute to improving performance of automatic emotion recognition systems. Motivated by these issues, we propose a hierarchical framework which models emotional evolution within and between emotional utterances, i.e., at the utterance and dialog level respectively. Our approach can incorporate...
The present work reports results of perceptual experiments aimed to explore the human ability to recognize emotional expressions through the visual and auditory channel, investigating if one channel is more effective than the other to infer emotional information and if this effectiveness is affected by the cultural context and in particular by the language. To this aim American, French, and Italian...
Attempts to put robots to practical use have been increasing, as robot becomes more human-friendly. In the human-robot interaction field, main issues are how variously the robot can express its emotion and how much the expression is socially acceptable. This paper proposes a robot's expression generation method based on the context information and combination of behavior database for emotional interactive...
Humans are able to recognize facial expressions of emotion from faces displaying a large set of confounding variables, including age, gender, ethnicity and other factors. Much work has been dedicated to attempts to characterize the process by which this highly developed capacity functions. In this paper, we propose to investigate local expression-driven features important to distinguishing facial...
There clearly are important issues associated with the distinction between acted and naturalistic data, but focusing on acting may not be the best way to articulate them. An alternative is to focus on differences of structure which are often (but not always) associated with the distinction. Several such differences relate to the way signs are distributed: simultaneous or sequential appearance; in...
Automatic inference of affect relies on representative data. For viable applications of such technology the use of naturalistic over posed data has been increasingly emphasised. Creating a repository of naturalistic data is however a massively challenging task. We report results from a data collection exercise in one of the most significant application areas of affective computing, namely computer-based...
With the increased demand for English communication, various styles of learning support methods have been proposed and provided to the Japanese learners. However, there are still many learners finding it hard to read, write and speak in English. Regardless of language difference, understanding the other's intention and emotional status accurately and expressing what they think or feel to the others...
One of the motives for studying faces and gestures is the role that they play in spontaneous, socially rich interaction between humans. If computers are to interact with humans in that mode (or to analyse what they are doing in it), methods of interpreting the non-verbal signals that they use are critical. It is becoming clear that developing those methods requires databases whose complexity is of...
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