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. …

BACKGROUND: The long-term consequences after an intensive care unit (ICU) hospitalization can be significant for both ICU survivors and their family members. Research in the past decades has shown that patients may develop new onset or worsened impairments in the physical, mental and cognitive domain …

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 …

INTRODUCTION: Physical Activity (PA) is essential for enhancing the physical function of pre-frail and frail older adults. However, among this group, PA-levels vary significantly. Identifying the factors contributing to these differences could support tailored PA interventions. This study aims to examine …

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 research explored the use of deep learning to classify impact events on wind turbine blades using spectrogram images. Audio data were recorded through indoor and outdoor simulations using smartphones. The data preparation process involved converting stereo recordings to mono, applying downcasting …

In het snel evoluerende domein van machine learning is het cruciaal om het meest geschikte model voor een bepaalde dataset te selecteren. Inzicht in de kenmerken van een dataset kan een aanzienlijke invloed hebben op de resultaten van voorspellende modellen, waardoor de studie van de eigenschappen van …

OBJECTIVE: This scoping review aimed to gather current knowledge on accurately identifying and distinguishing between non-frail, pre-frail, and frail older adults using gait and daily physical activity (DPA) parameters and/or models that combine gait with DPA parameters in both controlled and daily life …

Manual crack inspection is labor-intensive and impractical at scale, prompting a shift toward AI-based segmentation methods. We present a novel crack segmentation model that leverages the Segment Anything Model 2 (SAM 2) through transfer learning to detect cracks on masonry surfaces. Unlike prior approaches …

Introduction While principles of neuroplasticity and motor learning emphasise the potential of high dosage of physical rehabilitation in children and adolescents with acquired brain injury (ABI) during the subacute phase, we lack empirical evidence to demonstrate its impact in terms of meaningful outcomes. …