Abstract Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial intelligence (AI), have particularly strong potential to support nurses in their work. However, their use also introduces ambiguities. An example of such a technology is AI-driven lifestyle monitoring …

This graduation project, led by the Smart Industry research group at Saxion together with the Ambient Intelligence research group (AmI), aims to create an energy analysis tool for the SERENE/SUSTENANCE projects in the Dutch sustainable communities of Vriendenerf and Aardehuis. The goal of the project …

Peer-reviewed artikel over semantische segmentatie van point clouds.

The graduation project of Andrii Roizin, a software engineering student at Saxion, was developed as a part of the Sportkeur 2.0 project. This project is led by Go2Sure and the Saxion Ambient Intelligence research group is one of its partners.             The purpose of the project was to discover the …

The goal of this study was to develop an automated monitoring system for the detection of pigs’ bodies, heads and tails. The aim in the first part of the study was to recognize individual pigs (in lying and standing positions) in groups and their body parts (head/ears, and tail) by using machine learning …

Deze publicatie bevat het volledige afstudeerdossier van dhr. R.M. van Alst, afgestudeerd student van de studie HBO-ICT Software Engineering aan de Saxion Hogeschool te Enschede. Deze publicatie bevat de volgende documenten:- De afstudeerscriptie - Het Plan van Aanpak - Een persoonlijk reflectiedocument - …

Abstract for World Physiotherapy Congress 2021Title Ethical Considerations of Using Machine Learning for Decision Support in Occupational Physical Therapy: a narrative literature study and ethical deliberation. Authors Marianne W. M. C. Six Dijkstra1,4,7 · Egbert Siebrand2 · Steven Dorrestijn2 · Etto …

CHI PLAY '20,  November 2–4, 2020, Virtual Event, Canada We have built and implemented a set of metaphors for breathing games by involving children and experts. These games are made to facilitate prevention of asthma exacerbation via regular monitoring of children with asthma through spirometry at …

The full potential of predictive maintenance has not yet been utilised. Current solutions focus on individual steps of the predictive maintenance cycle and only work for very specific settings. The overarching challenge of predictive maintenance is to leverage these individual building blocks to obtain …