Research Group Smart Sensor Systems
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?
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.
Team
Lodewijk Arntzen
Rufus Fraanje
Fernando Garcia Fernandez
Bas Hilckmann
Astrid Jansen
Erdal Korkmaz
Derek Land
Stefania Marassi
Jeanette Prinz
Fidelis Theinert
Lodewijk Arntzen
Contact:
Rufus Fraanje
ResearchGate profile
Fernando Garcia Fernandez
Dr. Fernando García is Visiting Professor at The Hague University of Applied Sciences and an Associate Professor at Universidad Carlos III de Madrid, where he is the head of the Autonomous Mobility and Perception Lab (www.ampl.es).
He currently acts as a member of the Board of Directors for the IEEE Intelligent Transportation Society and member of the Steering Committee of the Transportation and Electrification Community. He has also served as the Chair of the Spanish Chapter (2018-2020) and Vice-President (2021-2022), as vice dean of the Polytechnic School of the Universidad Carlos III de Madid, as well as the organizer of several conferences, such as ICVES 2018 and 2019, IV2020, and ITSC 2018,2019 and 2022, among others.
His research interests are related to computer vision, data fusion, and LiDAR in the field of Intelligent Transportation Systems. During his research career, he has successfully led numerous important collaborations involving international automotive industries, OEMs, and Tier 1. He has published more than 100 papers and has edited 1 book. He has been awarded the Barreiros prize 2014 and the IEEE ITS Young Researcher/Engineer Award of the ITSS-IEEE 2021, among other awards.
Bas Hilckmann
Contact:
ResearchGate profileAstrid Jansen
Coördinator van alle lopende zaken binnen het lectoraat.
Erdal Korkmaz
Derek Land
ResearchGate profile
Stefania Marassi
Stefania has a Master Degree in European and International Law from Trento University and an LL.M. in International and European Labour Law from Tilburg University. She has published a book, a number of articles and an open-ed on the implementation of new technologies (e.g. wearables) in the workplace and the data protection-related implications, and on transnational collective labour relations. Stefania has also worked as independent expert in a European project led by EFFAT on the impact of technological developments in the European food and drink industry and a European project led by ETUC and Business Europe on transnational company negotiations.
Jeanette Prinz
Jeanette (Jeany) Prinz is a lecturer for machine learning and artificial intelligence and a researcher at the Smart Sensor Systems group. She earned a PhD at the TU Munich and the Helmholtz Center for Environmental Research, subsequently held a postdoctoral position at the Mayo Clinic, and then worked for several years at the analytics company KNIME. Building on her background in bioinformatics and data science, Jeany's current research focuses on data science applications, for example, in the field of environmental exposure data.
Fidelis Theinert
About the professor
dr. John Bolte
ResearchGate profile >
j.f.b.bolte@hhs.nl
The awarded RAAK MKB SCOUT Project for greenhouse measurement is along these lines. In the field of wearables there is a link with TNO and Health, Nutrition and Sports Dietetics in addition to wearables for environmental exposure, the development of wearables for measuring objective behaviour, health and biological functions will also be examined. We also have a partnership with Statistics Netherlands and Utrecht University to replace subjective questionnaire measurements with low-cost objective observations methods using sensors. These topics will be further developed in the coming academic year by a TNO employee seconded to us. We will also look at the sensitivity of specific groups of people to certain exposures, for example examining the relationship between electromagnetic fields and health. In collaboration with Medux/Digital Angel, we are also developing the Internet of Medical Things to monitor behaviour, food intake, activities and exposure of the elderly. A further cooperation agreement is underway with the Haaglanden Municipal Health Service in the field of remote CO monitoring in houses above Sisha lounges.
Ensuring Machine Health by means of timely and smart maintenance guarantees not only safety, but also an optimal production capacity. Small sensors and embedded systems provide real-time information about the wearing and lifespan of machines. Prediction models based on this sensor data over a longer time span and across multiple machines can be used to select the optimal maintenance moment. Efficiency is increased by weighing the costs due to malfunctions in the production process against the maintenance costs. Sensors and prediction models also play an important role in inspection systems and early warning systems for workers and the environment. Environmental safety is a prerequisite for carrying out high-risk business activities, e.g. in the chemical and metal industries. Safety is ensured by carrying out preventive maintenance and taking measures to reduce risks to the environment and the worker. In addition to process incidents, occupational safety also covers long-term exposure of workers, for example in the field of biological agents such as microbes and moulds, physical agents such as noise, air quality and radiation, chemical agents such as in the concentration of potentially toxic and explosive substances, and other risks which are not directly detectable.
In the ongoing 'Measuring at the workplace’ project, involving road workers from the Leeuwenstein Group and builders from Heijmans and in collaboration with TNO, ArboUnie and RIVM, multiple exposures are measured using wearables (location, temperature, humidity, UV, noise and fine dust). The Eminent Doctoral Research is looking for optimal information provision about non-observable exposure risks among blue-collar workers.
The LearningLab Urbinn on the development of self-propelled vehicles brings together a series of projects such as the Twizzy and the self-propelled bin. In the Smart Wheelchair project, different sensors, such as Lidar, ultrasonic and 3D vision, are combined to create maps of static and dynamic objects, determine routes via algorithms and then drive. In the requested SIA RAAK MKB project 'Let's move IT', an integrated fleet management system will be examined. Within this project, the HHS will develop autonomous navigation systems that can operate safely in dynamic environments, for example where people and other mobile robots are involved.
Projects
Agrotech
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'. This project is part of the Smart Mobility & Smart Control research line of the Research group Smart Sensor Systems.
Exercise research from questionnaire to measurement
CBS - HHs - RIVM Exercise research: replace the SQUASH questionnaire for determining metabolism through questions about activities and duration by objective measurements with inertial measurement units and (motion) sensors. This project is part of the Smart Health research line of the Research group Smart Sensor Systems.
Biosensors for detecting enzymes, DNA and viruses
This project is the result of a collaboration between Smart Sensor Systems, TNO and the company Delta Diagnostics. In a short period of time, this company has become an important player in the further development (TNO spin-off development) as well as the further market introduction of these Microring Resonators (MRRs) as a point-of-care diagnostic technique. This project is part of the Smart Health research line of the research group Smart Sensor Systems.
PrimaVera
Smart Urban Mobility MetA Lab (SUMMAlab)
VIT for Life
The Medical Delta Living Lab Vitality Innovation & Technology (VIT) for Life focuses on promoting the vitality of people with (an increased risk of) lifestyle-related health issues. The lab focuses on the development of sustainable social and technological innovations. This could include, for example, the development of an app that encourages healthy dietary choices and enough exercise. This project is part of the Smart Health research line of the research group Smart Sensor Systems.
Wearables for Occupational Health
The project Wearables for Occupational health: Measuring vests for Body Parameters and Exposure and Motion started on 1 February, 2019. In cooperation with Kinetic Analysis and CBS, the research group is developing measuring vests with light sensors that can measure exposure, movement and body parameters. This project is part of the Smart Health research line of the research group Smart Sensor Systems.