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Chapter and Conference Paper
Human Activity Recognition Under Partial Occlusion
One of the major challenges in Human Activity Recognition (HAR) using cameras, is occlusion of one or more body parts. However, this problem is often underestimated in contemporary research works, wherein tra...
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Chapter and Conference Paper
An Image-Based Approach for Classification of Driving Behaviour Using CNNs
In this work we present an approach for the classification of driving behaviour using Convolutional Neural Networks (CNNs), based on measurements that have been obtained by the internal CAN-bus of the vehicle....
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Chapter and Conference Paper
A Novel CNN-LSTM Hybrid Architecture for the Recognition of Human Activities
The problem of human activity recognition (HAR) has been increasingly attracting the efforts of the research community, having several applications. In this paper we propose a multi-modal approach addressing t...
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Article
An adversarial semi-supervised approach for action recognition from pose information
The collection of video data for action recognition is very susceptible to measurement bias; the equipment used, camera angle and environmental conditions are all factors that majorly affect the distribution o...
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Article
Weakly supervised multilabel classification for semantic interpretation of endoscopy video frames
Several studies have addressed the problem of abnormality detection in medical images using computer-based systems. The impact of such systems in clinical practice and in the society can be high, considering t...
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Chapter and Conference Paper
A Deep Learning Approach for Human Action Recognition Using Skeletal Information
In this paper we present an approach toward human action detection for activities of daily living (ADLs) that uses a convolutional neural network (CNN). The network is trained on discrete Fourier transform (DF...
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Chapter and Conference Paper
Dimensionality Reduction and Attention Mechanisms for Extracting Affective State from Sound Spectrograms
Emotion recognition (ER) has drawn the interest of many researchers in the field of human-computer interaction, being central in such applications as assisted living and personalized content suggestion. When c...
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Chapter
Digital Enhancement of Cultural Experience and Accessibility for the Visually Impaired
Visual impairment restricts everyday mobility and limits the accessibility of places, which for the non-visually impaired is taken for granted. A short walk to a close destination, such as a market or a school...
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Article
Exploiting sensing devices availability in AR/VR deployments to foster engagement
Currently, in all augmented reality (AR) or virtual reality (VR) educational experiences, the evolution of the experience (game, exercise or other) and the assessment of the user’s performance are based on her...
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Chapter and Conference Paper
Computing Long Sequences of Consecutive Fibonacci Integers with TensorFlow
Fibonacci numbers appear in numerous engineering and computing applications including population growth models, software engineering, task management, and data structure analysis. This mandates a computational...
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Chapter and Conference Paper
Recognition of Urban Sound Events Using Deep Context-Aware Feature Extractors and Handcrafted Features
This paper proposes a method for recognizing audio events in urban environments that combines handcrafted audio features with a deep learning architectural scheme (Convolutional Neural Networks, CNNs), which h...
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Chapter and Conference Paper
Recognizing Human Actions Using 3D Skeletal Information and CNNs
In this paper we present an approach for the recognition of human actions targeting at activities of daily living (ADLs). Skeletal information is used to create images capturing the motion of joints in the 3D ...
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Chapter and Conference Paper
Adaptive Learning Based on Affect Sensing
This paper introduces an end-to-end solution for dynamic adaptation of the learning experience for learners of different personal needs, based on their behavioural and affective reaction to the learning activi...
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Article
Exploiting social media information toward a context-aware recommendation system
The rise of the social networks during the last few years has provided a vast amount of knowledge in several domains. Among them, route planning and point-of-interest recommendation have significantly benefite...
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Chapter and Conference Paper
Beyond Lesion Detection: Towards Semantic Interpretation of Endoscopy Videos
Several computer-based medical systems have been proposed for automatic detection of abnormalities in a variety of medical imaging domains. The majority of these systems are based on binary supervised classifi...
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Chapter and Conference Paper
Weakly-Supervised Lesion Detection in Video Capsule Endoscopy Based on a Bag-of-Colour Features Model
Robotic video capsule endoscopy (VCE) is a rapidly evolving medical imaging technology enabling more thorough examination and treatment of the gastrointestinal tract than conventional endoscopy technologies. D...
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Chapter and Conference Paper
Recognizing Emotional States Using Speech Information
Emotion recognition plays an important role in several applications, such as human computer interaction and understanding affective state of users in certain tasks, e.g., within a learning process, monitoring ...
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Chapter and Conference Paper
Discovering Areas of Interest Using a Semantic Geo-Clustering Approach
Living in the era of social networking, coupled together with great advances in digital multimedia user-generated content, motivated us to focus our research work on humanistic data generated by such activitie...
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Chapter and Conference Paper
Detection of Clothes Change Fusing Color, Texture, Edge and Depth Information
Changing clothes is a basic activity of daily living (ADL) which may be used as a measurement of the functional status of e.g. an elderly person, or a person with certain disabilities. In this paper we propose...
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Chapter and Conference Paper
A Survey of Geo-tagged Multimedia Content Analysis within Flickr
Our survey paper attempts to investigate how recent and undoubted emerge in enriched, geo-tagged social networks’ multimedia content sharing works to the benefit of their users and whether it could be handled ...
