Critical materials are economically important raw materials with high supply risk. They are widely used in electronic components, batteries, sensors and drone-related systems. For Europe, access to these materials is a strategic issue because many of them are not sufficiently available within the European …

Purpose: Emotional exhaustion is a core component of burnout and impacts return-to-work trajectories following sick leave due to burnout or stress. Previous research identified links between emotional exhaustion and sleep, physical activity, mobility, and smartphone usage, yet little is known about how …

This thesis introduces a cost-effective methodology for estimating tire contact patch forces and moments at wheel centre using axial force measurements from suspension linkages. The primary aim is to reconstruct these dynamic quantities, eliminating reliance on expensive wheel force transducers (WFTs) …

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 …

Within Human Activity Recognition (HAR), there is an insurmountable gap between the range of activities performed in life and those that can be captured in an annotated sensor dataset used in training. Failure to properly handle unseen activities seriously undermines any HAR classifier's reliability. …

New academic paper out on the ARCfieldLAB project

Climate change, urban expansion, and agricultural intensification are increasingly threatening the Netherlands’ in situ archaeological heritage, necessitating the use of advanced methodologies for effective detection, mapping, characterizing, and monitoring of archaeological sites. Over the past decade, …

Privacy concerns can potentially make camera-based object classification unsuitable for robot navigation. To address this problem, we propose a novel object classification system using only a 2D-LiDAR sensor on mobile robots. The proposed system enables semantic understanding of the environment by applying …

This paper explores the application of electro-sensory technologies for three-dimensional foot scanning within a shoe. This research investigates resistive and capacitive sensor technologies, assessing their suitability for identifying foot pressure points, ensuring ergonomic fit, and indicating shoe …