With the recent advances of AI and its current adoption in healthcare, the associated social and ethical issues of its impact are of utmost importance. We study the current state of the art of chatbots and virtual assistants in the domain of medicine and ...

This paper is an ongoing work seeking to establish a generic definition and model of the Human Digital Twin (HDT) concept, independently from the application sector. The goal is to help researchers knowing more precisely what is or could be a HDT and an ...

Publications in recent years describe a strong use of wearable systems (especially smartphones) in the field of Human Activity Recognition (HAR). The smartphone can be considered both as a set of sensors and as an interface for the user. The European ...

Robots have the potential to support persons with different abilities, including individuals with blindness or visual impairments (BVI). This paper aims to investigate the current developments in robotic research that focus on BVI robotic users and ...

Transcranial direct current stimulation (tDCS) has shown promise for cognitive enhancement, particularly in improving working memory through single-session stimulation of the left dorsolateral prefrontal cortex (lDLPFC). However, the effectiveness of ...

This study explores the use of Convolutional Neural Networks (CNNs) to classify fear in the context of decision-making. The approach involves developing a CNN model that is trained using hyper-parameter tuning and K-fold cross-validation to accurately ...

Social robots are designed to interact with humans in social and emotional ways. Although social robots can have practical use cases where privacy concerns prevail, the use of social robots in such cases has been limited. This paper addresses this ...

A fuzzy Logic System (FLS) has the unique potential of intelligent decision-making capability with the input data, which are imprecise and unpredictable but can be expressed using linguistic rules. However, such FLS strongly depends on the hardware ...

This paper presents the current state of the Communication Support System (CoSy) which is a web-based system meant for assisting communication training in the healthcare domain. To improve feedback quality and thus learning outcomes of future healthcare ...

In recent years, the continuous advancement of artificial intelligence technology has generated increasing interest in interactive psychological dialogue systems as a means of providing psychological health assistance based on AI technology. This paper ...

Prior research shows that transcranial direct current stimulation (tDCS) has the propensity to induce performance gains in human subjects in various cognitive processes. However, very little is known about whether these gains can be predicted via machine ...

Voice Assistants such as Amazon Alexa and Google Home have recently made inroads into all walks of life as is evident from their popularity, and the growing number of users. Traditionally, research on elderly people with voice assistants has focused on ...

With the surge in competitive e-commerce demands occurring in recent years, most logistics companies have been compelled to create more efficient and successful delivery organizations. Also, new logistics companies which provide different opportunities ...

Loneliness and social isolation are serious and widespread problems among older people, affecting their physical and mental health, quality of life, and longevity. In this paper, we propose a ChatGPT-based conversational companion system for elderly ...

Vesti-AmI is a work-in-progress prototype of an intelligent wardrobe cooperating with the technological infrastructure of the Intelligent Home, aiming to assist a wide variety of users (i.e. adults, children, elderly, and people with disabilities) in ...

Despite extensive research on human-centric domestic behaviour monitoring for various essential applications, there are still significant challenges to deploying such systems on a larger scale. One of the main obstacles is adjusting the gap between ...

More than 350 million people suffer from lifestyle-based mental health disorders, which often begin with the precursors of stress and anxiety.  Several studies have demonstrated the benefits of various activities such as sports, yoga, and physical ...

The use of UAVs and artificial intelligence has emerged as a promising approach for monitoring road defects. This paper highlights the importance of these technologies in improving road inspection, maintenance, and safety. Traditional methods for ...

In traditional neuropsychological tests, executive functions (EFs) are typically evaluated using paper and pencil or computer-based sit-down tasks. However, a new assessment framework, the Automated Test of Embodied Cognition (ATEC), has been developed ...

This paper presents an approach for reducing the cognitive load for humans working in quality control (QC) for production processes that adhere to the 6σ -methodology. While 100% QC requires every part to be inspected, this task can be reduced when a ...