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.
Fernando Garcia Fernandez
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.
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.
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.