This paper presents a multimodal simulation system, project-SENSE, that combines virtual reality and full-body motion capture technologies with real-time verbal and nonverbal communication. We introduce the technical setup ...

In July 2021, parts of Germany and Belgium were hit by severe floods. In 'The central role of forests in the 2021 European floods', published in Environmental Research Letters (2022 Environ. Res. Lett. 17 064053), Insua-Costa ...

This study examines Lean—conceptualized as Involvement in Continuous Improvement and Lean Techniques—in hospitals. Specifically, we aim to determine the extent to which hospital workers’ perceptions of Lean are related to ...

De menselijke geest blijkt in toenemende mate vatbaar voor invloeden van buitenaf, welke invloeden soms onwenselijk worden geacht. Naar analogie met de strafrechtelijke bescherming van het lichaam, dringt zich sterker dan ...

A common criteria for Explainable AI (XAI) is to support users in establishing appropriate trust in the AI – rejecting advice when it is incorrect, and accepting advice when it is correct. Previous findings suggest that ...

In context of an increasing interest in immunotherapeutic treatments, the work described in this thesis expands the current knowledge of several potential antibody-based therapeutic approaches. A new development is the use ...

Little is known about how play affects the development of children with a chronic condition. Studying play poses major methodological challenges in measuring differences in play behaviour, which results in a relative ...

Effective extraction of temporal patterns is crucial for the recognition of temporally varying actions in video. We argue that the fixed-sized spatio-temporal convolution kernels used in convolutional neural networks (CNNs) ...

Large-scale action recognition datasets contain more instances of adults than children, and models trained with these datasets may not perform well for children. In this study, we test if current state-of-the-art deep ...

We model dyadic (two-person) interactions by discriminatively training a spatio-temporal deformable part model of fine-grained human interactions. All interactions involve at most two persons. Our models are capable of ...