The demand for assistive technology is expected to rise alongside the increasing care needs of aging populations. Ambient intelligence, particularly context awareness, offers potential benefits in addressing challenges faced by the healthcare system. In dementia care, context awareness can facilitate …

Reinforcement learning offers a promising approach for personalized, early-stage detection of behavioral events such as agitation in individuals with dementia, particularly when contextual insights from care staff are integrated. Given the scarcity and the ethical constraints of real-world agitation …

This paper addresses the challenge faced by call center operators supporting family members of individuals with Substance Use Disorders (SUDs), particularly the difficulty of detecting emotional distress in callers during high-pressure interactions. We developed a lightweight, real-time Speech Emotion …

Human-centered AI must confront tensions between mutually incompatible fairness definitions and fairness requirements of algorithmic decision-making (ADM) systems. To investigate how people perceive this trade-off and how this perception can guide engineering requirements, we determine the underlying …

This chapter examines how Australian businesses operating in Singapore navigate digital transformation within the context of international operations. As digital technologies reshape the global business landscape, companies are increasingly leveraging tools such as cloud computing, artificial intelligence, …

In this study, eye-tracking and deep learning are employed to classify pilot experience during a twin-engine Piper Seneca flight simulator based on the potential to enhance aviation training and safety through the integration of human cognitive behaviors with artificial intelligence to optimize inter-cognitive …

Tracheostomy is a life-saving procedure with complications often linked to suboptimal tracheostomy tube fit. Customised tubes could reduce these risks, but their development requires precise tracheal morphometric data. This study presents an automated workflow for extracting high-resolution tracheal …

This seminar presents a multidisciplinary research path connecting materials science, nanotechnology, and sensor systems. It begins with earlier work on the development and characterization of functional materials, focusing on lead-free piezoelectric materials. The second part introduces ongoing research …

Road markings play a crucial role in road safety by guiding traffic and ensuring visibility. As markings deteriorate over time, their effectiveness diminishes, necessitating timely maintenance. This paper studies two methods to classify road-marking damage from recorded images, in accordance with the …

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