Livestock wearable technologies are innovations designed to ensure livestock health management. However, the user aspect of these devices from farmers’ perspective is still questionable. Additionally, livestock wearables are still in progress ...

Metacognitive monitoring involves evaluating one’s own thought processes and knowledge. In recent efforts to design serious games for educational purposes, scaffolds for the metacognitive monitoring process have been provided to help pupils achieve ...

When we converse, we adapt our behaviors to our interlocutors. The adaptation can serve to indicate our engagement which can also elicit enhancement of the involvement of others. Virtual agents (or socially interactive virtual agents) that play ...

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• Design of a real-time adaptive virtual agent with the capability to render reciprocally adaptive behaviors.
• Evaluation of human-agent interaction with Cognitive Behavior Therapy (CBT) as a proof-of-concept.
• Creation of a new human-...

In the realm of real-time communications, WebRTC-based multimedia applications are increasingly prevalent as these can be smoothly integrated within Web browsing sessions. The browsing experience is then significantly improved with respect to ...

Emotion is an interdisciplinary research field investigated by many research areas such as psychology, philosophy, computing, and others. Emotions influence how we make decisions, plan, reason, and deal with various aspects. Automated human ...

Emotion and gender recognition are important areas of research in the field of computer vision and human-computer interaction. The proposed CNN architecture is designed to extract features from facial images and classify them into six basic ...

Depression is a typical mental illness, and early screening can effectively prevent exacerbation of the condition. Many studies have found that the expressions of depressed patients are different from those of other ...

• A new experiment of emotional stimuli for expression evoking is proposed.
• The Average Number of Occurrences (ANO) and the Average Duration (AD) of the subjects' seven basic expressions were analyzed.
• A new microexpression-based ...

The Facial Action Coding System (FACS) for studying facial expressions is manual and requires significant effort and expertise. This paper explores using automated techniques to generate Action Units (AUs) for studying facial expressions. We ...

The recognition of human emotions remains a challenging task for social media images. This is due to distortions created by different social media conflict with the minute changes in facial expression. This study presents a new model called the ...

Recognizing facial activity is a well-understood (but non-trivial) computer vision problem. However, reliable solutions require a camera with a good view of the face, which is often unavailable in wearable settings. Furthermore, in wearable ...

• We present a multimodal wearable system for monitoring facial expressions.
• Modular multimodal late fusion and hybrid fusion models are proposed.
• Our approach is an unobtrusive, low-power, low-memory, privacy-preserving solution.

Recently, depression research has received considerable attention and there is an urgent need for objective and validated methods to detect depression. Depression detection based on facial expressions may be a promising adjunct to depression ...

• Detecting depression from facial information captured under video stimulus paradigm stimulation.
• Combining depression-related AUs and defined facial proportions eliminates redundant facial information.
• Multimodal fusion of facial ...

This paper investigates the impact of displaying the facial expressions of a user in real time on the performance of the task, the social presence and the behavioral changes of the users interacting in a Virtual Reality environment. To evaluate this ...

Facial expressions are dynamic processes that evolve over temporal segments, including onset, apex, offset, and neutral. However, previous works on automatic facial expression analysis have mainly focused on the recognition of discrete emotions, ...

• A robust Grammatical Facial Expressions (GFEs) classifier for facial expression recognition systems is proposed, along with an efficient feature extraction method using validated statistical approaches.
• A new set of data was created ...

In this paper, an efficient features extraction using validated statistical approaches is proposed, along with a robust Grammatical Facial Expressions (GFEs) classifier in facial expression recognition systems. Accordingly, a new dataset was ...

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Many researchers agree that facial expressions are one of the main non-verbal ways that human beings use to communicate and express emotions. For this reason, there has been a significant increase in interest in capturing facial movements to ...

Although several studies have looked at the relationship between emotional characteristics and viewing behaviour, understanding how emotional intelligence (EI) contributes to individuals’ viewing behaviour is not clearly understood. This study ...

There are several factors for vehicle accidents during driving such as drivers’ negligence, drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time. Moreover, recent developments in computer vision and artificial ...

Determining a person’s emotional state remains a non-trivial task relating to the ambiguous definition of the emotion itself and the different tools used to identify emotional aspects. In this study, we propose an Emotional Recognition System by ...

The popularity of E-learning has grown significantly due to the continuous growth of Internet usage and related technologies. However, the lack of face-to-face interaction in E-Learning poses a challenge in detecting the emotions of the learners. ...

It is known that purely geometric distance metrics cannot reflect the human perception of facial expressions. A novel perceptually based distance metric designed for 3D facial blendshape models is proposed in this paper. To develop this metric, ...