How can agricultural entrepreneurs ensure the best possible climate in their greenhouses, so their tomato plants produce the highest number of tastiest tomatoes?

Is it possible to develop self-driving wheelchairs that enable the elderly to remain mobile longer and visit family and friends independently? And how do you measure exposure to harmful environmental factors such as fine dust, noise or radiation?

About the research group

Smart measurement tools and sensors (static, mobile and even wearable) offer a world of useful data and applications. For the business community, health care field and other sectors. The research group Smart Sensor Systems focuses on the design and development of such measurement tools, as well as processing and sharing the measurement results.

Prevention and prediction are the keywords of this research group. Knowledge is power. And that means staying ahead of the game, whether the focus is on predictive models for healthcare and workplace and other safety or early warning systems for preventative machine maintenance. Prevention is better - and cheaper - than cure or repair.


About the professor

dr. John Bolte

John graduated from Utrecht University as an Earthquake Seismologist. In 2003, he earned his PhD from the Delft University of Technology, specialising in Acoustic Imaging. Since 2002, he has been working as a scientific project manager for The Netherlands National Institute for Public Health and the Environment (RIVM). He has written, for example, a national guideline for employee protection from electromagnetic fields. At the RIVM, he earned years of experience in the development and application of wearable measuring tools. John has received numerous research grants from ZonMw and RIVM (> 1.25 million euros). He graduated from the VU University Amsterdam in 2011 with a degree in Environmental Epidemiology and was appointed a lector at The Hague University of Applied Sciences in 2016.

ResearchGate profiel

John Bolte

Smart sensors enable us to identify the health risks of staff members at an early stage.


Potential health impacts of 5G systems (NextGEM)

Our society can no longer live without technology that uses radio frequency electromagnetic fields (RF EMF). Especially in telecommunications, we cannot escape 3G-, 4G- and now 5G-technology.
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Autonomous wheelchair

The research group Smart Sensor Systems of The Hague University of Applied Sciences researches the application of mobile and intelligent robotics. It's conducting research on making wheelchairs safer and more user-friendly with new functions such as: 'automatic driving', 'collision detection' and 'support when performing difficult manoeuvres'.
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24 April 2023


Great solutions found during Sensor Data Challenge

Team "Leanatics" from Arnhem Nijmegen University of Applied Sciences was the winner of the Sensor Data…
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31 January 2023


GROUNDED: Making the invisible applicable

Over the next 8 years, The Hague University of Applied Sciences and Saxion University of Applied Sciences will work…
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26 October 2022


On top of the latest developments

On Wednesday 12 October, all partners from the 'Crop Growth Measured Well' project gathered at the Digital…
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Sensor fusion of odometer, compass and beacon distance for mobile robots

The estimation of the pose of a differential drive mobile robot from noisy odometer, compass, and beacon distance measurements is studied.


Ecological momentary assessment study of exposure to radiofrequency electromagnetic fields and non-specific physical symptoms with self-declared electrosensitives

The main objective of the study is to determine if non-specific physical symptoms in people with self-declared sensitivity to radiofrequency electromagnetic fields can be explained by exposure to RF EMF.


PrimaVera: Synergising Predictive Maintenance

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.


Legibility as a Design Principle: Surfacing Values in Sensing Technologies

This paper introduces the design principle of legibility as means to examine the epistemic and ethical conditions of sensing technologies.