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In this fast pace world, individuals are expected to perform and complete multiple jobs simultaneously which induces various levels of stress among persons. Though positive stress can contribute effectively towards success, its overload could cause serious health problems. Therefore, it is of paramount importance to understand and differentiate good stress from bad stress for each person. Even though...
A critical task in forced oscillation technique (FOT), a promising lung function test, is to remove respiratory artefacts. Manual removal by specialists is widely used but time- consuming and subjective. Most existing automated techniques have involved simple thresholding methods in an unsupervised manner. Breath cycles can be classified by a binary classification model (classes: artefactual and accepted)...
In this paper we present a method for localisation of facial landmarks on human and sheep. We introduce a new feature extraction scheme called triplet-interpolated feature used at each iteration of the cascaded shape regression framework. It is able to extract features from similar semantic location given an estimated shape, even when head pose variations are large and the facial landmarks are very...
Classifying complex categorical emotions has been a relatively unexplored area of affective computing. We present a classifier trained to recognize 18 complex emotion categories. A leave-one-out training approach was used on 181 acted videos from the EU-Emotion Stimulus Set. Performance scores for the 18-choice classification problem were AROC = 0.84, 2AFC = 0.84, F1 = 0.33, Accuracy = 0.47. On a...
Whether or not emotion in music can change over time is not a question that requires discussion. As the interest in continuous emotion prediction grows, there is a greater need for tools that are suitable for dimensional emotion tracking. In this paper, we propose a novel Continuous Conditional Neural Fields model that is designed specifically for such a problem. We compare our approach with a similar...
We present a real-time system for detecting facial action units and inferring emotional states from head and shoulder gestures and facial expressions. The dynamic system uses three levels of inference on progressively longer time scales. Firstly, facial action units and head orientation are identified from 22 feature points and Gabor filters. Secondly, Hidden Markov Models are used to classify sequences...
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