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 …

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 thesis was developed within the context of the Launch Your Career (LYCar) pro-gramme at Hotelschool The Hague, and conducted during a professional internship at TreasureBox BV. It explores how automation technologies can support the housekeeping department in luxury hotels, with NH Collection Grand …

Sensors in offices mainly measure environmental data, missing qualitative insights into office workers’ perceptions. This opens the opportunity for active individual participation in data collection. To promote reflection on office well-being while overcoming experience sampling challenges in terms of …

Vroegtijdige detectie van agitatie bij mensen met dementie kan leiden tot tijdige interventies, waardoor verslechtering van de situatie wordt voorkomen en de kwaliteit van leven wordt verbeterd. De opkomst van multimodale detectie en de vooruitgang in kunstmatige intelligentie maken het haalbaar om technologie …

Anomalies in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings can lead to performance degradation, energy inefficiencies, and occupant discomfort. Automated anomaly detection is essential to prevent these issues. Machine learning based anomaly detection techniques are effective …

People with dementia (PwD) often present Behavioral and Psychological Symptoms of Dementia, which include agitation, apathy, and wandering amongst others, also known as challenging behaviors (CBs). These CBs worsen the quality of life (QoL) of the PwD and are a major source/ reason of (increased) caregiver …

Achtergrond Neuropsychiatrische symptomen (NPS) komen vaak voor bij getroffen personen en kunnen een uitdaging vormen voor (in)formele zorgverleners. Daarom worden ze ook wel uitdagend gedrag (CBs) genoemd. Sensortechnologie die context en gedrag meet, kan helpen om CB's op een objectieve manier effectief …