Indoor service robots need perception that is robust, more privacy-friendly than RGB video, and feasible on embedded hardware. We present a camera-free 2D LiDAR object detection pipeline that encodes short-term temporal context by stacking three consecutive scans as RGB channels, yielding a compact YOLOv8n …

Methodological research is on the move. Across disciplines and domains, we see a growing focus on how methods can collectively drive systemic change and support societal transitions. The KEM monitor brings these developments together — tracing the emerging directions of a field in motion. Key Enabling …

AI-driven lifestyle monitoring systems collect data from ambient, motion, contact, light, and physiological sensors placed in the home, enabling AI algorithms to identify daily routines and detect deviations to support older adults "aging in place." Despite its potential to support several challenges …

Exercise-induced muscle fatigue can aject older people's gait and hence their fall risk. However, non-homogeneous gait adaptations have been shown (1), questioning whether these are caused by a direct eject of fatigue or by compensatory strategies to account for (perception of) fatigue. This study aimed …

Three-dimensional (3D) reconstruction has become a fundamental technology in applications ranging from cultural heritage preservation and robotics to forensics and virtual reality. As these applications grow in complexity and realism, the quality of the reconstructed models becomes increasingly critical. …

Neck pain is a common condition that hinders people's daily functioning. The care of people with non-specific neck pain requires a personalised biopsychosocial approach. However, integrating psychological factors in therapeutic interventions remains a challenge. Understanding psychological mechanisms …

In this thesis, we focus on developing behaviours for socially interactive agents (SIAs). The context in which the agent is used is a self-regulated learning system for children. We focus on personalising learning objectives and interaction content within an intelligent tutoring system (ITS). We envision …

In de sport- en revalidatiewetenschappen is nauwkeurige bewegingsanalyse essentieel voor het verbeteren van prestaties en het voorkomen van blessures. Traditionele marker-gebaseerde systemen, zoals Vicon, worden beschouwd als de gouden standaard vanwege hun uitzonderlijke precisie bij het meten van complexe …

"The global shift toward electric vehicles (EV) and renewable energy highlights the need for educational models that are both scientifically rigorous and accessible to diverse learners. Research in STEM education demonstrates that hands-on, project-based learning increases student engagement, understanding, …

The importance of learning to create an expressive performance is a consistently discussed topic in music education. However, how musicians develop “expressiveness” is still understudied. Recent investigations haveshown that musicians’ motor behavior is a significant source of perceptual information …