Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 34 for “"Facial expression recognition"”.
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Image-based facial expression recognition
This work deals with facial expression recognition from various face representations. The key contributions of the work are both empirical and theoretical. In empirical work, we first design and successfully test a framework for near-frontal expression recognition. Then we do a significance …
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Facial expression recognition for a sociable robot
… to them accordingly. In this thesis, I present a facial expression system that recognizes the facial features of human subjects in an unsupervised manner and interprets the facial expressions of the individuals. The facial expression system is integrated with an existing emotional model for the …
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Facial Expression Recognition and Interpretation in Shy Children
… we examined the relation between shyness and facial expression processing in children. In Study 1, facial expression recognition was examined by asking 97 children ages 12 to 14 years to identify six different expressions displayed at 50% and 100% intensity, as well as a neutral expression. In …
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Techniques for Facial Expression Recognition Using the Kinect
Facial expressions convey non-verbal cues. Humans use facial expressions to show emotions, which play an important role in interpersonal relations and can be of use in many applications involving psychology, human-computer interaction, health care, e-commerce, and many others. Although humans …
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Automatic real-time facial expression recognition for signed language translation
… vision techniques designed to increase both the recognition accuracy and computational efficiency of automatic facial expression recognition. In particular, we compared a local segmentation of the face around the mouth, eyes, and brows to a global segmentation of the whole face. Our results …
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Robust facial expression recognition in the presence of rotation and partial occlusion
This research proposes an approach to recognizing facial expressions in the presence of rotations and partial occlusions of the face. The research is in the context of automatic machine translation of South African Sign Language (SASL) to English. The proposed method is able to accurately recognize …
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DEEP LEARNING FOR FOR LARGE-SCALE FACIAL EXPRESSION RECOGNITION IN THE WILD
Human facial expression recognition (FER) is a challenging task due to ambiguous facial expressions and highly skewed, imbalanced datasets. Even with recent advances in deep learning, these obstacles still remain. Facial expressions are commonly assigned discrete emotions, as per the categorical …
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Facial Expression Recognition: Fusion of A Human Vision System Model and A statistical framework
Automatic facial expression recognition from still face (color and gray-level) images is acknowledged to be complex in view of significant variations in the physiognomy of faces with respect to head pose, environment illumination and person-identity. Even assuming illumination and pose invariance …
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Studying Facial Expression Recognition and Imitation Ability of Children with Autism Spectrum Disorder in Interaction with a Social Robot
… elements of social interactions such as facial expressions [1]. They also show deficiencies in imitating facial expressions in social situations. In this Master thesis, we focus on studying the ability of children with ASD in recognizing facial expressions and imitating the expressions …
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Facial Analysis From Continuous Video With Application to Human -Computer Interface
… described in this thesis for embedded face and facial expression recognition is based on a novel probabilistic framework. In this novel framework, faces are modeled not only by their appearance, but also by the spatio-temporal deformation pattern of their expressions. Face recognition and facial …
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Automatic Behavioral Analysis from Faces and Applications to Risk Marker Quantification for Autism
… including a method for pose-invariant facial expression recognition, a self-contained mobile application for behavioral analysis, and a framework to calibrate a trained deep model with data synthesis and augmentation. First we focus on pose-invariant facial expression recognition. It is …
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Three-Dimensional Face Processing and Its Applications in Biometrics
… speech avatar; and (3) the non-frontal-view face/facial expression recognition/human action recognition, which is among the earliest efforts of the research communities in this area.
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Automaticity and Hemispheric Specialization in Emotional Expression Recognition: Examined using a modified Stroop Task
… investigation was to examine the automaticity of facial expression recognition through valence judgments in a modified photo-word Stroop paradigm. Positive and negative words were superimposed across male and female faces expressing positive (happy) and negative (angry, sad) emotions. Subjects …
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Continual Learning for Affective Robotics
… the first extensive benchmark on Continual Facial Expression Recognition (ConFER), evaluating CL-based approaches for continually learning facial expression classes under different learning settings. Despite enabling incremental learning, ConFER does not focus on personalised affect …
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Evolutionary deep learning
… and list some open, unanswered questions in facial expression recognition using convolutional neural networks. One serious challenge when implementing such networks for facial expression recognition is the large number of trainable parameters which results in long training times. We propose a …
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Learning without Labels - Reducing Supervision in Training, Inference, and Evaluation of Deep Neural Networks
… Adaptation scenarios in visual tasks such as Facial Expression Recognition and video-based Action Recognition, primarily leveraging self-supervision and self-training. At inference, we address the challenge of removing fixed output vocabularies from Vision Language Models by formalizing the …
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Semisupervised Learning of Classifiers With Application to Human -Computer Interaction
… related to human-computer interaction: facial expression recognition and face detection.
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Desempenho de crianças em escalas de comportamento agressivo e emoção
… data collection was used. The analysis of facial expressions was performed by using the Test of Emotion Comprehension (TEC), and to see how children recognize facial expressions in bullying we used the instrument called Facial Expression Recognition test Bullying Situations: REF-B. The …
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Constructive neural networks with applications to image compression and pattern recognition
… to regression, image compression and pattern recognition problems. The contributions of this work are as follows. First, two new strategies are proposed for a constructive One-Hidden-Layer Feedforward NN (OHL-FNN) that grows from a small initial network with a few hidden units to one that has …
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