Abstract
Emotions have direct influence on the human life and are of great importance in relationships and in the way interactions between individuals develop. Because of this, they are also important for the development of human-machine interfaces that aim to maintain a natural and friendly interaction with its users. In the development of social robots, which this work aims for, a suitable interpretation of the emotional state of the person interacting with the social robot is indispensable. The focus of this paper is the development of a mathematical model for recognizing emotional facial expressions in a sequence of frames. Firstly, a face tracker algorithm is used to find and keep track of faces in images; then the found faces are fed into the model developed in this work, which consists of an instantaneous emotional expression classifier, a Kalman filter and a dynamic classifier that gives the final output of the model.
Highlights
Emotions influence the human behavior and the way individuals interact and relate to other members of society
All the trees have finished training, the following procedure is used to calculate an estimation of the accuracy of the learner for samples stranger to the training set: 1) Each sample contained in the complete training set is considered separately; 2) All trees that contain a particular sample in their oob sets are used to classify that sample, and a vote counting is used to decide to what class it belongs to
The procedure is repeated for all samples of the complete training set; 3) The random forest’s accuracy is given by the number of samples of the set classified correctly divided by the number of samples classified incorrectly by that process
Summary
Emotions influence the human behavior and the way individuals interact and relate to other members of society. They permeate one’s daily life and determine how people react to the various situations they encounter in their routines. Emotions help the body prepare for specific external events. The fear people may experience when they see a large object coming fastly towards them stimulates blood circulation in their legs, allowing them to act promptly and respond trying to avoid the object. Computer interfaces that can understand the emotional state of its users can communicate more naturally compared to interfaces without this capability. Affective computing comes to deal with the integration of the concept of emotion in the computational area [2]
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