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Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
One of the challenges in modeling cognitive events from electroencephalogram (EEG) data is finding representations that are invariant to inter- and intra-subject differences, as well as to inherentExpand
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Speech-gesture driven multimodal interfaces for crisis management
Emergency response requires strategic assessment of risks, decisions, and communications that are time critical while requiring teams of individuals to have fast access to large volumes of complexExpand
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Recognition of facial expressions and measurement of levels of interest from video
This paper presents a spatio-temporal approach in recognizing six universal facial expressions from visual data and using them to compute levels of interest. The classification approach relies on aExpand
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A real-time framework for natural multimodal interaction with large screen displays
This paper presents a framework for designing a natural multimodal human computer interaction (HCI) system. The core of the proposed framework is a principled method for combining information derivedExpand
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Spectrotemporal dynamics of the EEG during working memory encoding and maintenance predicts individual behavioral capacity
We investigated the effect of memory load on encoding and maintenance of information in working memory. Electroencephalography (EEG) signals were recorded while participants performed a modifiedExpand
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From facial expression to level of interest: a spatio-temporal approach
This paper presents a novel approach to recognize the six universal facial expressions from visual data and use them to derive the level of interest using psychological evidences. The proposedExpand
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Robust Recognition of Emotion from Speech
This paper presents robust recognition of a subset of emotions by animated agents from salient spoken words. To develop and evaluate the model for each emotion from the chosen subset, both theExpand
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Visual modelling and evaluation of surgical skill
For many surgical procedures, computer-based training has become an increasingly attractive alternative to traditional training methods. One of the key problems in computer-based surgical training isExpand
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A 2D/3D model-based object tracking framework
Abstract This paper presents a robust framework for tracking complex objects in video sequences. Multiple hypothesis tracking (MHT) algorithm reported in (IEEE Trans. Pattern Anal. Mach. Intell.Expand
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Prediction of membrane proteins using split amino acid and ensemble classification
Knowledge of the types of membrane protein provides useful clues in deducing the functions of uncharacterized membrane proteins. An automatic method for efficiently identifying uncharacterizedExpand
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