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 …

Aviation safety relies greatly on understanding human factors and pilot behaviour. This study uses innovative eye-tracking biometrics and predictive analytics to enhance aviation landing performance in a twin-engine Piper Seneca simulation. With a Tobii Glass 3 eye tracker, gaze patterns from two pilots …

Gaussian Splatting has emerged as a powerful technique for high-fidelity 3D scene representation, yet its computational demands hinder rapid visualization, particularly on CPU-based systems. This paper introduces a lightweight method for efficient thumbnail generation from Gaussian splatting data, leveraging …

Het onderzoek ontwikkelt een geïntegreerd procesraamwerk dat parallel plannen en parametrisch ontwerpen combineert om de Nederlandse woningbouw te versnellen, betaalbaar en duurzaam te maken binnen een circulaire bouweconomie. Het kwalitatief-exploratieve onderzoek, gebaseerd op literatuur, expertinterviews …

Two modern trends in insurance are data-intensive underwriting and behaviour-based insurance. Data-intensive underwriting means that insurers analyse more data for estimating the claim cost of a consumer and for determining the premium based on that estimation. Insurers also offer behaviour-based insurance. …

This paper investigates the advantages and challenges associated with synchronous and asynchronous activities in intercultural virtual collaboration (IVC) projects, particularly in relation to student satisfaction and learning outcomes. This study draws parallels between two distinct IVC projects. The …

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 workshop will be an opportunity to experience first-hand and discuss an inclusive, hybrid (digital-physical) workshop format, empowering citizens to co-design their neighborhoods and make their voices heard in planning processes, while enabling professionals and municipalities to automatically …

Teacher-student interaction is built out of numerous micro-interactions that shape learning and teaching processes. This presentation highlights the use of State Space Grids (SSGs) for visualizing and studying real-time classroom discourse in an intervention targeting professional development. State …

This study presents an automated method for detecting and measuring the apex head thickness of tomato plants, a critical phenotypic trait associated with plant health, fruit development, and yield forecasting. Due to the apex's sensitivity to physical contact, non-invasive monitoring is essential. This …