Ambient Intelligence

The Ambient Intelligence research group makes environments smart. The research group focuses primarily on applications related to safety, sports and smart industry. Safety projects are often in collaboration with the fire brigade. In these projects, solutions have been developed to determine where a firefighter is in buildings without infrastructure with sensors.

With regard to sports, the research group pays a lot of attention to monitoring athletes. For example, (sensor) technology and big data analysis are used for the early detection of signals of overload and thus the prevention of injuries.

Through projects in the smart industry, we help SMEs to improve the efficiency of their process or the quality of their product with the help of data. The research always focuses on measurements via sensors (sense), models to interpret the measured data (think) and giving feedback to the user (act).

The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are indistinguishable from it.

Mark Weiser, Xerox Park, 1991

Cooperation research group Ambient Intelligence

Knowledge is built up through projects in which companies, students, teachers and researchers work together. The lectorate has a large network of (regional) companies and knowledge institutions. Thanks to good contacts with the business community, the research is always demand-driven. The research group also collaborates with other research groups from Saxion and other universities of applied science. The research is also multidisciplinary. In addition, there is a structural collaboration with and sponsoring of Thales, the University of Twente and Roessingh R&D.

The Ambient Intelligence research group actively participates in the following networks: Platform PRIO, Nederlandse AI Coalitie,The Garden of Kairos and T-Valley.

Research lines

Connected embedded systems

The research line connected embedded systems focuses on making the latest developments in the field of internet-linked embedded systems applicable within existing engineering practice. We develop practical knowledge and prototypes on, among other things, obtaining data from sensors (measuring), sensor fusion and filtering, data distribution, communication protocols and (embedded) software development.

List of current research projects
Connected embedded system

Applied data science

The Applied data science research line focuses on how to get "situational awareness" from (measured sensor) data: who is present, what do they do, what is going on, or even what are the intentions. In addition to data storage and management, this mainly concerns (big) data analysis, data mining, learning systems and decision support.

Read more about the projects
Beeld 2.jpg

Augmented interaction

The Augmented Interaction research line uses various technologies to realize natural, intuitive interaction. By making use of cross reality (augmented, mixed and virtual reality), combined with physical representations such as robots, we make the invisible visible and interactive in a natural way. The real and virtual worlds become fully integrated in cyber-physical systems.

Beeld 3.jpg

Publications 

Through the years, our research group has contributed to several publications. Below, you'll find a list of the most recent ones. 

DEMO'S / PROTOTYPES (PRODUCTEN BEROEPSPRAKTIJK)

WETENSCHAPPELIJKE PUBLICATIES

  • Ton, B.; Ahmed, F.; Linssen, J. Semantic Segmentation of Terrestrial Laser Scans of Railway Catenary Arches: A Use Case Perspective. Sensors 2023, 23, 222. Beschikbaar via: https://doi.org/10.3390/s23010222 (Open access)

HANDBOEKEN

  • Deep learning for computer vision, a manual for the IT-minded engineer, 20-05-2022, Jeroen Linssen

PUBLICATIES IN VAKBLAD (SEMI-WETENSCHAPPELIJK)

  • Sociaal aanraken op afstand, publicatie in blad Sozio, februari 2022, Danny Plass

  • Magazine van Vereniging Sport en Evenementen, "Volledige risicobeheersing heeft rust en zekerheid", jaargang 70, nummer 2, juni 2022, Raoul Willemsen, Sportkeur

BIJDRAGE AAN SYMPOSIA (PRESENTATIES)

  • Internet of Things research methodology for SMEs, 12-11-2021 (FIMS), Miha Lavric
  • Semantic segmentation of catenary arches, presentatie tijdens de Digitalization of the built environment conferentie, 01-04-2022, Bram Ton
  • Wat is AI en hoe kunnen we het inzetten om onze productie slimmer en efficienter te maken? Presentatie tijdens het BOOST Smart Industry Jaarevent 2022, 24-03-2022, Jeroen Linssen
  • Ambient Intelligence & Digitale transformatie in de zorg, presentatie tijdens Health Valley, 31-03-2022, Jeroen Linssen.
  • Smart ML Load predictions for demand side management in microgrids, presentatie tijdens ICT open, 06-04-2022, William Brown, Miha Lavric, Javier Ferreira Gonzalez
  • Low power embedded IoT ML activity classification for wildlife protection, presentatie tijdens ICT Open, 07-04-2022, Javier, Peter, Prachi, Pepijn Keizer en Jeroen van der Heiden.
  • Poster: cybersecure distributed communication framework for Micro grid applications, 07-04-2022, Eyuel Ayale, Javier Ferreira Gonzalez en Dany Dragoi
  • SpiroPlay – Gamified spirometry for home monitoring of children with asthma + video over project Sociaal aanraken op afstand, ICT Open 6/7 april 2022, Iris Heerlien, Alejandro Moreno, Danny Plass, Robby van Delden (UT), Mannes Poel (UT), Mattienne van der Kamp (MST)
  • Poster sociaal aanraken op afstand + video Sociaal aanraken op afstand, ICT Open 6/7 april 2022, Danny Plass, Roos van Kleef (student), Jorrit de Jong, Anne Pasman, Lieke Middel, Wouter Vos (Elitac), Marijke Noome
  • Samenwerking lectoraat AMI met veiligheidspartners, presentatie tijdens  Saxion Research Conference, Wouter Teeuw, 11 juli 2022
  • Toezicht in transitie - Technologische ontwikkelingen relevant voor toezicht, 12-10-2022. Presentatie voor middagsessie over Toezicht en de kansen v.w.b. data & AI, Jeroen Linssen
  • Gastcollege Minor AI, Safety & Security: AI & data science (in het kort), 28-11-2022, Presentatie voor Minor AI, Safety & Security van Saxion, Jeroen Linssen
  • Research meeting Employability Transition: Zinvolle inzichten in data met Artificial Intelligence, 19-12-2022, Presentatie voor lectoraat Employability Transition, Jeroen Linssen
  • Poster SportKeur 2.0: Video analysis of a biking track by computer vision, 11-07-2022, SRC22, Andrii Roizin, Alejandro Moreno, Iris Heerlien, Prachi Bagave, Roonak Babakhani, Tatiana Goering
  • DDM workshop sensing, bijeenkomst binnen het project Digital Driven Manufacturing, Jeroen Linssen, 11-02-2022
  • DDM workshop digital twinning, bijeenkomst binnen het DDM project, Jeroen Linssen, 14-02-2022
  • Techniek, zorg, onderwijs en overheid vinden elkaar tijdens kennisevent digitale transformatie in de zorg, Jeroen Linssen, Wouter Teeuw, Sjors Groeneveld, Bernadette Lohuis en Remko Soer, 05-04-2022
  • Kick off meeting TFF Predict to Prevent, Jeroen Linssen, 11-05-2022
  • Presentatie voor afsluiting project Focus op Vision, Jeroen Linssen, 20-05-2022
  • Presentatie voor afsluiting project Sportkeur 2.0, Tatiana Goering, Iris Heerlien, Alejandro Moreno, Roonak Babakhani, 21-06-2022

STUDENTENPROJECTEN (STAGE-, MINOR-, AFSTUDEERVERSLAGEN)

  • Develop a small system to detect people in the queue and a dashboard, Ruben Assink, 1-2-2022
  • Extend the project approach tool with automatic feedback and visualisations, Stanislav Dior, 1-2-2022
  • ML-based algorithms for Migrogrid optimizations, Daniel Gabriel Drãgoi, 1-2-2022
  • Underground Water Sensor Cloud platform, Richie Valentino Richard Ilot, 1-2-2022
  • Make the CTRLab a living lab for Deventer!, Ronald Berg, Stijn van den Hasselerharm, Menno Wissink, Annabel van Dijk, Selinde Wübkes, Joris Immink, David Koens, 1-2-2022
  • Research, develop and test an innovative IoT solution that can provide remote monitoring & controlling via dashboard or mobile app, Helder Ferraz de Carvalho, Niels van Hecke, Rick Versluis, 1-2-2022
  • Exploration and testing phase of state-of-the-art ML-based prediction algorithms for different type of microgrid configurations, William Brown, Mohamad Anjila, Huy Trân, 1-2-2022
  • Sensor placement, sensing strategy, sensor modalities for the bearing test-bench of The den Hague university, Ken Yeh, Ewout van Dartel, Tim Leemreize, Wout Scheffer, 1-2-2022
  • Deep learning on point clouds, Zino Vieth, 1-2-2022
  • Automated detection and classification of pig behavior using computer vision, Lin Hoang, Nam Trinh, Huy Cao, Ruikang Xu, 1-2-2022
  • Dashboard for visualization of foot pressure, Sander Adam, Niek Tempert, Merijn Bauhuis, Sten ter Stal, 1-2-2022
  • Visualizing point cloud segmentation, Floris Verburg, 1-2-2022
  • Effect of image quality in computer vison for semantic segmentation of road images, Christian Anghel, 8-7-2022
  • Automation of the inspection of a biking track using computer vision, Andrii Roizin,15-7-2022
  • Full stack application development for the risks at sports, Mechiel van der Hoeven, 15-7-2022
  • UIUX design of energy consumption dashboard for carbon neutral communities, Gerben Bornebroek, 15-7-2022
  • Encouraging energy conscious behaviour for carbon neutral communities, Marvin Eilander, 15-7-2022
  • Modular IOT Industrial Monitoring Solution for Filtration Systems, Pepijn Keizer, 15-7-2022
  • Intelligent low-power IoT ambient monitor solution for energy transition, Niek Hoornsman, Bas Oppe, Tim ter Steege, Keith Iqbal, 15-7-2022
  • Flexible textile-based electronics IoT solutions, Musab al Muqbali, 15-7-2022
  • Direct matching of CAD models to point clouds without segmentation, Bartosz Przadka, 8-7-2022
  • William Brown
  • Saxion mobility map, Lukman Sulaiman Al-Busaidi, Michael Shekhovtsov, Vincenzo Savarese, Yehor Zhvarnytskyi, Christopher van Gaalen, 8-7-2022
  • Project approach tool - security & usability, Henry Wright, Oleksii Soloviov, Simona Ilieva, Siyovush Tochir, Yibing Chen, 8-7-2022
  • 3D Point Cloud Segmentation and Automation for Railway Catenary arches, Plamen Bozov, 8-7-2022
  • Point cloud based semantic segmentation for catenary system using deep learning:Compressibility of a PointNet++ network, Nils Rutgers, 8-7-2022

IN DE MEDIA

PUBLICATIons in trade magazines

  • Slim en snel data verwerken, publication in “Op het spoor” edition november 2021, Bram Ton, Faizan Ahmed and Jeroen Linssen
  • Ocepek M, Žnidar A, Lavrič M, Škorjanc D, Andersen IL. DigiPig: First Developments of an Automated Monitoring System for Body, Head and Tail Detection in Intensive Pig Farming. Agriculture. 2021 Dec 21;12(1):2.

Contributions to SYMPOSIA (PRESENTATIons)

  • Applied data@saxion, network meeting, presentation on Data @ AI van HBO-i, Jeroen Linssen, 03-02-2021
  • Smart Microgrids, WP 4.2 Technical Session (04/02/21), (Quintec project), Miha Lavric and Javier Ferreira Gonzalez
  • Insights into the invisible, presentation at ICT open 2021, Bram Ton, 11-02-2021
  • Machine learning based sensor fusion for localization : initial test results, presentation at ICT open, Tania Andrea, David Zalewski and Javier Ferreira Gonzalez, 11-02-2021
  • Self-configurable UWB based sensor network for localization applications, poster ict open, Valentin Tosetchi, Dawid Zalewski and Javier Ferreria Gonzalez, 12-02-2021
  • Pesten, kun je dat tegengaan met een bullying game?  Press release Jeroen Linssen, Anne Hurenkamp, Ines Schell and Matthijs van Veen, 06-04-2021
  • TFF Military: applicaties voor bezoeker en jury, presentation during einddemo project, Peter Ebben, 06-04-2021
  • TFF Military einddemo: Virtual Camera, Evert Duipmans, 06-04-2021
  • Station 2 – EIS Distributed wireless infrastructure and horse monitoring system, einddemo TFF military project, Javier Ferreira Gonzalez, 06-04-2022
  • Semantic segmentation of railway catenary systems, mid term advice report, Bram Ton, Faizan Ahmed en Jeroen Linssen (advisory report for project TFF Digitalisatie Bovenleidingen en draagconstructies) 09-04-2021
  • Pepper under control, report, Karlo Drvoderic en Jeroen Linssen, 22-04-2021
  • TV broadcast RTV Oost on the project TFF Military, Jan Laarhuis en Evert Duipmans, 01-05-2021
  • Wat is Artificial Intelligence, Teqnow webinar quality control, Jeroen Linssen, 20 05 2021
  •  WorldClassMaintenance & Big Data, Jeroen Linssen,  20-05-2021
  • Segmenting small objects in a large point cloud using the Super Point Graph Model, Egbert Dijkstra, Faizan Ahmed, Bram Ton and Jeroen Linssen, 01-07-2021
  • Kunstmatige intelligentie, buzz of business. Podcast on artificial intelligence in the MKB, Jeroen Linssen, 15-07-2021
  • Presentation of Ambient Intelligence at the offshore expertise center of Rijkswaterstaat, Jeroen Linssen, 31-08-2021
  • Presentation of Ambient Intelligence at the Offshore Expertise Center of Rijkswaterstaat, Jeroen Linssen, 03-09-2021
  • Some steps on the stairs to digital twinning, RCT Gelderland, meeting on the advantages of digital twinning, Jeroen Linssen, 16-09-2021
  • Segmantic segmentation of catenary arches, Presentation during T valley Tech conference, Bram Ton, 30-09-2021
  • Automatisering van AI gebaseerde data-analyses, presentation at T-valley congres, Jeroen Linssen, 30-09-2021
  • Maar uw bedrijf slimmer met The Internet of Things, Webinar IOT Oost, Wouter Teeuw, 28-10-2021
  • The why of AI; managing expectations and limitations of AI based Technology in Industry, presentation on the international conference of emerging trends in business and management, Jeroen Linssen, 12-11-2021
  • Managing the uncertain future of AI, keynote speech at the international conference of emerging trends in business and management, Jeroen Linssen, 12-11-2021
  • Internet of Things research methodology for SMEs. Presentation at FIMS - Saxion international conference on “Emerging Trends in Business and Management”, Miha Lavrič, 12-11-2021
  • ICT OPEN 2021, online, the Netherlands, B. Ton, Insights to the invisible, Prima Vera, 11-2-2021
  • ICT Open 2021, online, the Netherlands, T. Andrea Grama, D. Zalewski, J. Ferreira Gonzalez, Machine learning based sensor Fusion For Localization – Initial Test Results, 10-02-2021
  • ICT Open 2021, online, the Netherlands, Valentin- Florin Tosetchi, D. Zalewski, J. Ferreira Gonzalez,
  • Self configurable UWB based sensor network for localization applications, 10-02-2021

educational material

  • Data, data and even more data, Jeroen Linssen, gastcollege HBO- ICT 01-04-2021
  • AI trainingssessie 1: methodologie & data mining, Jeroen Linssen, 21-5-2021
  • AI trainingssessie 2: machine leaning, Jeroen Linssen en Miha Lavric, 04-06-2021
  • AI trainingssessie 3: deep learning, Jeroen Linssen, 18-06-2021
  • Embedded IOT solutions, guest lecture at the IoT specialization course from HBO-ICT, Jeroen Linssen, 27-09-2021

DEMOS / PROTOTYPES

  • Object classification of railway structures, Creation of a pipeline to prepare point clouds, generate training data and detect objects in a point cloud, Joey Teunissen, Benjamin Bakir, Job Jonkers Ahmed Rehad, Thomas Tunc, Matthijs van Veen en Jeroen Linssen, 05-02-2021

PRESENTATIons

  • EFRO Flywheel technology for energy storage in microgrids - Smart Microgrids, 4-2-2021, J. Ferreira Gonzalez, M. Lavric , internal presentation
  • ICT OPEN 2021, online, the Netherlands, B. Ton, Insights to the invisible, Prima Vera, 11-2-2021
  • ICT Open 2021, online, the Netherlands, T. Andrea Grama, D. Zalewski, J. Ferreira Gonzalez, Machine learning based sensor Fusion For Localization – Initial Test Results, 10-02-2021
  • ICT Open 2021, online, the Netherlands, Valentin- Florin Tosetchi, D. Zalewski, J. Ferreira Gonzalez,
  • Self configurable UWB based sensor network for localization applications, 10-02-2021

STUDENT projects

  • Best practices for data analytics at Pentas, Octavian Dima, 15-7-2021 
  • Comparison of data analytics for sleuces, Quyen Dang, 15-7-2021 
  • Project approach tool- collaboration, Lars Hendriks, 10-1-2021
  • Automated animal image classification from camera traps, Guus Janssen , Falco Berendhaus, Iris Bolhuis, Dominique Netters, Willem Lefferts, 5-2-2021 
  • Point-cloud classification of railway objects, Thomas Tunc, Benjamin Bakir, Job Jonkers, Joey Teunissen, Rehan Ahmed, 5-2-21 
  • Ontwikkeling AR spel voor supporters, Indre Satinskyte, Kaloyan Krastev, Martynas Zilinskas, Max Molewijk, Rik Oomkes, Stef Klein Nagelvoort, 5-2-2021 
  • Nasogastric tube insertion training for nurses, Andrei Martashov, 5-2-2021 
  • Analysing sportkeur data and creating a dashboard for real time monitoring, Alparslan Selvi, Serkan Demirhan, Fatih Kartal, 5-2-2021 
  • Selecting a new platform for Military Horse Positioning, Thymo van Beers, Tim Hofman, Wout van Mensvoort, 7-2-2021 
  • Analysis and presentation of Scania data, Catalina Doschinescu, Slav Mitov, Nikola Todev, Shumous Jumaily al, 7-2-2021 
  • Design an app and API for infrastructural maitenance in the field, Josh van Asten, 7-2-2021 
  • Create a BIM Unity app that can retrieve information from a BIM server, Andrei Terus, 7-2-2021 
  • PepperManualControl, Karlo Drvoderic, 23-4-2021 
  • Develop a dashboard to display spirometry data of the latest session and over time, Bernard Merveille, 23-4-2021 
  • ML-based algorithms for Migrogrid optimizations, Anton Zuboskyi, 9-7-2021
  • Develop a small system of camera + pi to detect how many people are in the queue,  Ruben Assink, 9-7-2021 
  • 3d videos - experiential information booth on the lockers, Carina Campisi, 9-7-2021 
  • ML-based algorithms for Migrogrid optimizations, Anton Zuboskyi, 9-7-2021 
  • Project approach tool: automatic feedback, Robin van Alst, 9-7-2021 
  • Using deep learning for point cloud segmentation, Mani Salahmand, 9-7-2021 
  • Investigate the usage of the ESP32 Ultra Low Power co-processor as processor for sensor data collection, David Comman, Hidde Moll, Luciano Orlandini, Midas Kortman, Thymo van Beers, 9-7-2021 
  • Simple machine learning algorithms, which could run on embedded platform, David van Hartevelt, Jeroen van der Heiden, Luc Grefte, Pepijn Keizer, 9-7-2021 
  • Chatbots voor automatische gesprekken, Vincent Witten, 30-4-2021 
  • Refactor the load monitoring system and prepare the system to be used in an open source community, Dovydas Valiulis, 9-7-2021 
  • Functionality to annotate damages, structural, safety problems in a Unity BIM viewer application, Niek Tempert, 9-7-2021 
  • Analysing sportkeur 2.0 data and creating a dashboard for real time monitoring the data, Fatih Likoglu, Lars van den Broek, Gianni Valenzuela Flores, 9-7-2021 
  • Neus-maagsonde, Andrei Martashov, 9-7-2021 
  • Neus-maagsonde, Duy Hoang, 9-7-2021 
  • Neus-maagsonde, Noortje Klein Willink, Kieu Nguyen, Willemijn Lanzing, Marieke van Essen, Mayke Stoverink, Jetskte Wilmink, 9-7-2021 
  • Danny Neus-maagsonde, Jesse de Rooij, Christian Richters, William te Wierik, Jelmer Santing, 9-7-2021 
  • Comparison of models for point cloud classification/segmentation, Egbert Dijkstra, 2-7-2021 
  • Opensource data manager platform, Benjamin Bakir, 12-11-2021 

scientific publications (PEER REVIEW)

  • SpiroPlay, a Suite of Breathing Games for Spitometry by lkds& experts, Danny, Plass, OUde Bos, CHI play '20, November 2-4, Virtual Event Canada
  • Intramusculair EMG versus surface EMG of Lumbar Multifidus and Erector Spinae in Healthy Participants, Anke Hofste, Remko Soer, Etto Salomons, Frits Oosterveld, Jan Peuscher, Andre Wolf, Han vd Hoeven, Gerbrand Groen, Hermie Hermsen, Spine, Volume 45, numer 20, pp E1319 – E1325, Wolters Kluwer
  • Dijkstra, M. W. S., Siebrand, E., Dorrestijn, S., Salomons, E. L., Reneman, M. F., Oosterveld, F. G., Soer, R., Gross, D. P., & Bieleman, H. J. (2020). Ethical considerations of using machine learning for decision support in occupational health: An example involving periodic workers’ health assessments. Journal of Occupational Rehabilitation, 30(3), 343.
  • PrimaVera: Synergising Predictive Maintenance, Bram Ton, Rob Basten, John Bolte, Jan Braaksma, Alessandro di Bucchianico, Philippe Calseyde, Frank Grooteman, Tom Heskes, Nils Jansen, Wouter Teeuw, Tiedo Tinga, Mariëlle Stoelinga,  Applied Sciences, Vol. 10, No. 2, Nov. 2020, https://www.mdpi.com/2076-3417/10/23/8348 .

PUBLICATIons in trade magazines

  • “Niet de robots maar de bouw is aan zet”, artikel in Bouwen in het Oosten editite maart 2020 – J. Linssen.

contributions to SYMPOSIA 

  • Applied research on artificial intelligence at Saxion, Oost NL, Apeldoorn 19-05-2020, Jeroen Linssen, Wouter Teeuw

educational material

  • AI- training session 1: methodology & datamining – J. Linssen 29-05-2020
  • AI-training session2 – machine leraning- M. Lavric 12-06-2020
  • AI-training session 3- deep learning overview – Dr. Ioannis Katramados (lector), Hossein Rahmani (researcher NHL Stenden), juli 2020

DEMOS / PROTOTYPES 

  • DSI, Data science in Industry (an overview of methods and tools) Faizan Ahmed, Prachi Bagave, Miha Lavric, Jeroen Linssen, 31-08-2020, Enschede
  • DSI- IoT in Industry ( an overview of tools and a case study), Faizan Ahmed, Martin Wesselink, Prachi Bagave, Jeroen Linssen, 31-08-2020, Enschede
  • DSI- Bronkhorst – Forecasting handbook , Lammert Heijen, 31-08-2020, Ruurlo

PRESENTATIons

  • Insights in to the invisible, Consortium meeting Prima Vera, 26-11-2020, B. Ton  Universiteit Twente, online meeting
  • Project Approach tool.nl; Danny Plass, HBO-ICT, HBO-I platformmeeting, 23-09-2020
  • WP2 ontwikkeling belastingmonitor Software, Eindevent Belastingmonitor 29-10-2020, Etto Salomons, TEAMS meeting
  • Dirstibuted and secured microgrids, J. Ferreira Gonzalez, Consortium presentation for the EFRO Quinteq flywheel, 1-10-2020
  • Embede IoT Solutions @AMI, Javier Ferreira Gonzalez, 01-10-2020 , Guess lecture at the IoT Specialization course from HBO-ICT, 1st October 12:30-13:00 via Teams
  • Ambient Intelligence: Enabling IT for a smart world, Seminar Pervasive Systems,Universiteit Twente, Enschede, 8 October 2020, Wouter Teeuw
  • TFF Military - IES Software Defined Wireless Networking     Javier Ferreira Gonzalez, Eyuel Debebe, Jan LaarhuisPresentation for project stakeholders, 07 2020
  • “The ranger alarm system, and IoT approach to prevent poaching” J. Ferreira Gonzalez, 2019-December-09
     KWS Tsavo Research Conference 2020, Sarova Taita Hills Lodge, Tsavo, Kenya
  • Sensing alarm responses of ungulate herds to prevent poaching of endangered fauna. The ranger alarm system, an IoT approach, J. Ferreira,  ACT Studiedag, Saxion UAS, Enschede, 01 2020    
  • Project Firebot; D. Plass, consortiummeeting 24-04-2020
  • Clusterbijeenkomst WCM Oost- Datamining voor predictive maintenance, Jeroen Linssen 30-06-2020
  • Clusterbijeenkomst NPAL- Datamining voor predictive maintenance, Jeroen Linssen 25-08-2020
  • W.B. Teeuw, “Ambient Intelligence for Dummies: The impact of the internet of things”, ACT studiedag, Saxion, Enschede, 27 januari 2020
  • AI & HMI GRID Pitching \session Ambient INtelligence Lab, 17-12-2020, Dr. J. Linssen, digitaal
  • Predictive maintenance, asset management and data science, 17-12-2020, Dr. J. Linssen, digitaal

STUDENT projects

  • Automatic DAC quality control, Wybren Oppedijk, bachelor thesis, juli 2020
  • Bouwatch- Process Report Identification and visualization of displacement of surveillance masts, Vincent Bruggmena, Colin Hemeltjen, Jasper Sijgers, Dovydas Valiulis, Anthonu van der Berg (tutor)
  • Excellence Track- Datascience Bronkhorst SDales Analysis Project Report, Quyen Dang, Jeroen Linssen, 17-7-2020
  • Euromoulings – energie monitoring, Jeroen Linssen, Timo van den Steenhoven, Jordu van Dillen, Bram van Ostaijen, 8-7-2020
  • Pentas Smart Silos, J. Linssen, Rayvano Keizer, Michiel Brink, Dick Pellen juli 2020
  • Machine learning based sensor fusion for localization applications”, T. Grama, D. Zalewski, J. Ferreira Gonzalez, 2020-January
     Alice & Eve event “celebrating women in computing”, Twente University, Enschede, The Netherlands.
     https://fmt.ewi.utwente.nl/events/aliceandeve2020/

scientific publications (PEER REVIEW) 

  • Moreno, A., Poppe, R., Gidson, J.L., Heylen, D., Automated and unobtrusive measurement of physical activity in an interactive playground, International Journal of Human Computer Studies, 2019
  • Bruijnes, M., Linssen, J., Heylen, D.K.J., Special edition editorial: Virtual Agents for Social Skills Training, Journal of Multimodal User Interfaces, 2019 vol 13, issue 1, pp 1-2.

contributions to SYMPOSIA 

  • Linssen, J. Lessons learned from data science in industry, Twente Data Meetup (Saxion Edition), Enschede, 07-11-2019.
  • Linssen, J. AI, wat kunnen we er praktisch mee in het mkb? AI – Het nieuwe DNA in business, Enschede, 07-11-2019.
  • Linssen, J. Me, Myself, and ITech. Gastcollege Interaction Technology University of Twente, Enschede, 21-10-2019.
  • Goering, T. Big Data Technology for Detection of Athletes Overload, ICT Square, Enschede, 27-06-2019.
  • Linssen, J. Data in Smart Industry: How can SMEs improve their business with data? ICT Square, Enschede, 27-06-2019.
  • Linssen, J. Studeren met robots. HBO-i Kijkje in de Keuken, Deventer, 19-06-2019.
  • Linssen, J., Wesselink, M., Veltman, J., Sijgers, I., Teeuw, W. Data-driven uptime improvement for Scania. Saxion Smart Solutions Festival, Deventer, 14-06-2019.
  • Linssen, J. Parallelsessie 'Machine learning in de zorg, e-commerce & product-optimalisatieprocessen’. Parallelsessie op evenement ‘Boost AI in uw organisatie’, Deventer, 09-05-2019.
  • Teeuw, W.B., TFF-Military: Event Information Systeem voor Military Boekelo, Startevent x3D: ICT voor Diergedrag, Diergezondheid en Dierenwelzijn, VKON, Den Ham, 25 april 2019.
  • Goering- T., Moses – Mobile Sensing for safety, Health Monitoring System, International Conference E- society, Utrecht, 11-04-2019.
  • Teeuw, W. Situational Awareness of health and safety, USA4EUROPA Conference, Brussel, April 2019
  • Ferreira Gonzalez, J., Buurlage, B., Zalewski, D.R.,: AIOSAT, Autonomous Indoor & outdoor Safety Tracking System, ICT Open, Amersfoort, 19 en 20-03-2019.
  • Linssen, J., Booij, R., Brezoi, A., Mulders, B., Veen, van, M., Ferreira Gonzalez, J., Fitting Fashion Using Machine learning, ICT Open, Amersfoort, 19 en 20-03-2019.
  • Plass, D., Kwaliteitsmodel voor HBO-ICT onderzoek, SURF Workshop Utrecht 18-03-2019
  • J. Ferreira Gonzalez, Sensing Alarm responses of ungulate herds tp prevent poaching of endangered fauna, 9-12-2019 Tsavo research Conference Kenya

educational material

  • Linssen, J. Data, data en nog eens data – Wat moeten, kunnen, en willen we ermee? Gastcollege Bedrijfseconomie, Deventer, 29-05-2019.

PRESENTATIons

  • Teeuw, W., Research@saxion, presentatie tijdens stuurgroep meeting EFRO E-PLM 2.0 12-09-2019 F:\KCDTAmI\Projecten\2192168 EFRO E-PLM 2.0\02 Uitvoeringsfase\Stuurgroep

IN MEDIA

scientific publicationS (PEER REVIEW)

  • Chris T. M. Baten, Wiebe de Vries, Leendert Schaake, Juryt Witteveen, Daniel Scherly, Konrad Stadler, Andres Hidalgo Sanchez, Eduardo Rocon, Danny Plass-Oude Bos, and Jeroen Linssen, XoSoft Connected Monitor (XCM) Unsupervised Monitoring and Feedback in Soft Exoskeletons of 3D Kinematics, Kinetics, Behavioral Context and Control System Status, In: Carrozza M., Micera S., Pons J. (eds) Wearable Robotics: Challenges and Trends. WeRob 2018. Biosystems & Biorobotics, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-01887-0_75 
  • Kortier, H.G., Bonestroo, W.J., Tangelder, R.J.W.T. (2018). MIMU PDR with bias estimation using an optimization-based approach. Paper presented at the 9th International Conference on Indoor Positioning and Indoor Navigation (IPIN'2018), 24-29 September 2018, Nantes, France.

PUBLICATIES IN VAKBLAD (SEMI-WETENSCHAPPELIJK)

  • Dr. ir. Jan Laarhuis, ‘MoSeS ondersteunt brandweer’, NIDV Magazine, 1-2018

contributions to SYMPOSIA

  • W.B. Teeuw, Internet of Things: De technologische ontwikkelingen rondom het ‘Internet of Things’ en de invloed daarvan op het publieke domein, Masterclass Digitale Transformaties in de Publieke Sector (Universiteit Twente), Regardez La Vie, Utrecht, 12 Oktober 2018

  • J. Laarhuis, Event Infotainment Systeem voor Military Boekelo, Presentatie bij gecombineerde Rotary Enschede / Kick-off TFF-Military project bijeenkomst, Enschede, 8 oktober 2018.

  • J.M. Linssen, Fitting Fashion Using Machine Learning, Eindsymposium Passende Mode via Internet, Amsterdam, 21 september 2018.

  • J.M. Linssen, Fitting Fashion Using Machine Learning, Saxion Research Conference 2018, Enschede, 21 juni 2018.

  • W.B. Teeuw, How can technology help in preventing Rhino poaching?, Symposium Kenyan ungulats as indicators of poaching, Wageningen UR (ZODIAC), 20 juni 2018.

  • W.B. Teeuw, Data in smart industry, Scania Technology Day, Nieuwe Buitensociëteit Zwolle, 15 juni 2018.

  • J.M. Linssen, R. Booij, A. Brezoi, B. Mulders en M van Veen, Smart oplossing om online kleding te passen, Het Grootste Kennisfestival van Nederland 2018, Deventer, 14 juni 2018.

  • Bonestroo, W.J. (Wilco), Wat is ROS? : En wat kan ik ermee?, Presentatie ROS Industrial Robotics voor You, mei 2018.

  • Dr.ir. W.A.P. (Wouter) van Kleunen en dr.ir. W.J. (Wilco) Bonestroo, Ontwikkel je eigen Bluetooth Low-Energy device, NIOC Congres 2018, Leeuwarden, 6 en 7 maart 2018. https://os.mbed.com/users/wkleunen/code/saxion_nioc/ 

  • Jan Dirk Schagen, Koen van Turnhout, Wilco Bonestroo, Ralph Niels. Toolkit en Kaartenset HBO Onderzoeksonderwijs in ICT. NIOC Congres 2018, Leeuwarden, 6 en 7 maart 2018.

  • W.J. Bonestroo, Location of of Things and People, invited talk op ICT.OPEN 2018. Amersfoort, 19 en 20 maart 2018.

DEMOS / PROTOTYPES

books / theses

  • Martin Serrano, Nikolaos Isaris, Hans Schaffers, John Domingue, Michael Boniface, and Thanasis Korakis (Eds.), Building the Future Internet through FIRE, River Publishers, June 2017. Link

scientific publications (PEER REVIEW)

  • Hans Schaffers, Thanasis Korakis, Congduc Pham, Abdur Rahim, Antonio Jara and Martin Serrano, European Challenges for Experimental Facilities, In: Serrano et al (Eds.), Building the Future Internet through FIRE, River Publishers, June 2017, pp 3-42.
  • Martin Serrano, Michael Boniface, Monique Calisti, Hans Schaffers, John Domingue, AlexanderWillner, Chiara Petrioli, Federico M. Facca, Ingrid Moerman, Johann M. Marquez-Barja, Josep Martrat, Levent Gurgen, Sebastien Ziegler, Serafim Kotrotsos, Sergi Figuerola Fernandez, Stathes Hadjiefthymiades, Susanne Kuehrer, Thanasis Korakis, TimWalters and Timur Friedman, Next Generation Internet Research and Experimentation, In: Serrano et al (Eds.), Building the Future Internet through FIRE, River Publishers, June 2017, pp 43-84.
  • Hans Schaffers, Smart applications and systems: towards effective networks of innovation and co‐creation, Keynote presentation, 9th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS' 2017), May 2017.
  • Jesus Ortiz, Eduardo Rocon, Valerie Power, Adam de Eyto, Leonard O’Sullivan, Markus Wirz, Christoph Bauer, Samuel Schülein, Konrad S. Stadler, Barbara Mazzolai, Wouter B. Teeuw, Chris Baten, Corien Nikamp, Jaap Buurke, Freygardur Thorsteinsson, Jeanette Müller, XoSoft - A vision for a soft modular lower limb exoskeleton, Wearable Robotics:  Challenges and Trends, Proceedings of the 2nd International Symposium on Wearable Robotics, WeRob2016, Springer International Publishing, 2017, pp. 83-88.

contributions to SYMPOSIA 

  • Peter Ebben, presentatie MoSeS, 'OvD dagen' van Brandweer Nederland, Vliegveld Twenthe, 11 januari 2017.
  • Peter Ebben, presentatie MoSeS, 'OvD dagen' van Brandweer Nederland, Vliegveld Twenthe, 18 januari 2017.
  • Wilco Bonestroo. Internet of Things for a Sustainable World. ACT International Week, International Project Day, Enschede, 16 maart 2016.
  • Wilco Bonestroo. Principes van plaatsbepaling. Masterclass “IoT – Plaatsbepaling”. Alumnibijeenkomst HBO-ICT, Saxion, Enschede, mei 2017.
  • Wouter van Kleunen, Plaatsbepaling onder water. Masterclass “IoT – Plaatsbepaling”. Alumnibijeenkomst HBO-ICT, Saxion, Enschede, mei 2017.
  • Etto Salomons, Plaatsbepaling van geluid. Masterclass “IoT – Plaatsbepaling”. Alumnibijeenkomst HBO-ICT, Saxion, Enschede, mei 2017.
  • Henk Kortier, Inertiele sensoren en dead reckoning. Masterclass “IoT – Plaatsbepaling”. Alumnibijeenkomst HBO-ICT, Saxion, Enschede, mei 2017.
  • Steyn Potze (student in excellentietraject Creative Technology Research). iBeacons. Masterclass “IoT – Plaatsbepaling”. Alumnibijeenkomst HBO-ICT, Saxion, Enschede, mei 2017.
  • Evert Duipmans, sensorfusie op basis van particle filters. Masterclass “IoT – Plaatsbepaling”. Alumnibijeenkomst HBO-ICT, Saxion, Enschede, mei 2017.
  • MoSeS team, Veiliger en efficienter werken met MoSeS, slotevent, Saxion, Enschede, 31 oktober 2017.
  • Wouter Teeuw, Internet of Things: wat is dat eigenlijk?, Netwerkbijeenkomst De Maatschappij, AhrmaCoatings, Deventer, 5 juli 2017.
  • Etto Salomons, Inferring human activity using ambient sound, Workshop 3-days of IoT sensation, Universiteit Twente, 13 november 2017

scientific publications (PEER REVIEW)

  • E.L. Salomons, H. van Leeuwen, and P.J.M. Havinga, “Impact of Multiple Sound Types on Environmental Sound Classification,” In: Proceedings of the IEEE Sensors Conference 2016, 30 Oct - 03 Nov 2016, Orlando, FL, USA.
  • E.L. Salomons, P.J.M. Havinga, and H. van Leeuwen, “Inferring Human Activity Recognition with Ambient Sound on Wireless Sensor Nodes,” Sensors, vol. 16, no. 10, p. 1586, Sep. 2016.
  • M. Baratchi, P. Ebben, W.B. Teeuw, J. Laarhuis, L. Teunissen, M. Van Steen, Towards Decisive Garments for Heat Stress Risk Detection, Proc. UBICOMP/ISWC ’16 adjunct workshop Designing, Developing, and Evaluating the Internet of Personal Health, Heidelberg, Germany, September 12, 2016, pp. 1095-1100.
  • Michael Boniface, Scott Kirkpatrick, Hans Schaffers, The Role of Experimentation Facilities in Open Innovation Ecosystems for the Future Internet, In: Open Innovation 2.0, Yearbook 2016, European Commission, May 2016.
  • Noortje H. Rijken, Remko Soer, Ewold de Maar, Hilco Prins, Wouter B. Teeuw, Jan Peuscher, Frits G.J. Oosterveld (2016). Increasing Performance of Professional Soccer Players and Elite Track and Field Athletes with Peak Performance Training and Biofeedback: A Pilot Study, Journal of applied psychophysiology and biofeedback.

contributions to SYMPOSIA 

  • Wouter Teeuw, Research Group Ambient Intelligence: Lunchlezing studieverenging Watt,  Saxion, Enschede, 24 november 2016.
  • Jan Laarhuis, Peter Ebben, Wilco Bonestroo, Evert Duipmans, Mike Ligthart, MoSeS workshop bij Experience Day Brandweer Twente, TRONED, Enschede, 29 juni 2016 (5x).
  • Hans Schaffers, Collaborative Enterprising Ecosystems and Business Models for Smart Manufacturing (Presentation and Session Chair), Industrial Technologies 2016: Creating a smart Europe, RAI Amsterdam, 23 June 2016.
  • Wouter Teeuw & Mike Ligthart, Social Robots, Panel and workshop at Symposium Man or Machine, Saxion, Deventer, 8 June 2016.
  • van Aggelen, A., de Boer, V., Groen, M., Meys, W., Reitsma, J., Bonestroo, W.J., Veenstra, M. (2016). Observe: Semantic Context-based Content Recommendation for Adaptive Public Screens, poster presented at ICT.OPEN March 2016, Amersfoort, The Netherlands.
  • Bonestroo, W.J. & Dorrestein, S. (2016) De risico's van de sensorsamenleving.Presentatie in een reeks bijeenkomsten  reeks van bijeenkomsten met als hoofdthema de impact van technologie op werk op 29 maart, CeeCee Spot, Enschede, Nederland.
  • Wilco J. Bonestroo, Henk G. Kortier, Ronald J.W.T. Tangelder, Marijke I. Timmermans, Gerard C.M. van Os, Richard M.H. Evering (2016). SaxShoe - Integrating IMU sensors into firefighters safety shoe, poster presented at Sense of Contact, 14 December 2016, Amsterdam, The Netherlands.

Our publications on HBO-Kennisbank.

Curious about possible graduation assignments? Feel free to contact us if you have any questions.

There are currently no graduate assignments.

News about this research group

Information

For information please contact Wouter Teeuw.

Employee Organisation Function Paid or unpaid Date
Wouter Teeuw Provincie Overijssel Statenlid Paid September 2022 - March 2023
Wouter Teeuw Stichting Stedenband Almelo-Ejmiatsin Chairman Unpaid March 2021 - now
Bernard van Veelen Thales Nederland B.V. Senior Researcher & Programme Manager Paid January 1996 - now
Chris Baten 't Roessingh R&D Guest Professor    
Danny Plass-Oude Bos Industrial reality hub President Unpaid April 2022 - April 2025
Faizan Ahmed University of Twente Lecturer  Paid February 2020 - now
Alex Chiumento University of Twente Assistant professor Paid February 2020 - now
Evert Duipmans BNNVARA Radio maker Paid May 2020 - now
Danique Hofstee University of Twente PhD researcher Unpaid  
Bram Ton University of Twente Guest researcher Unpaid  
Jan Veltman Commint Consultancy BV DGA Paid  

 

The team

chris-baten.jpg

Ir. Chris Baten

Guest Professor ('t Roessingh R&D)

088 - 019 5740 linkedin
Foto Alex Chiumento.jpg

Dr. ir. Alex Chiumento

Guest Professor (University of Twente)

06 5153 0723 linkedin
Afbeelding1.jpg

Ir. Bernard van Veelen

Company Professor (Thales)

06 - 5248 4530 linkedin
Javier Ferreira Gonzalez.jpg

Dr. Javier Ferreira Gonzalez

Associate Professor

06 - 5714 7783 linkedin
Danny Plass

Dr. Danny Plass - Oude Bos

Associate professor

06 -1507 2877 linkedin website
Selin C

Selin Çolakhasanoglu Msc

Lecturer/ researcher

06 - 3981 3666 LinkedIn
Eyuel Debebe Ayele, Lecturer/Researcher

Dr. Eyuel Debebe Ayele

Lecturer/Researcher

linkedin
Tatiana Goering.jpeg

Dr. Tatiana Goering-Zaburnenko

Lecturer/Researcher

06 - 2011 3941 linkedin
Iris Heerlien 500x500.jpg

Iris Heerlien MSc

Lecturer/Researcher

06 - 2381 3398
Gerald Hilderink

Dr. ir. Gerald Hilderink

Lecturer/Researcher

06 - 1605 8283 LinkedIn Profiel
Annemarie Jutte

Annemarie Jutte MSc

Lecturer/Researcher

06 - 4731 2074 LinkedIn
Miha Lavric

Dr. Miha Lavric

Lecturer/Researcher

06 - 8314 7016 linkedin
Alejandro Moreno.jpg

Dr. Alejandro Moreno

Lecturer/Researcher

06 - 2275 5608 linkedin
Susan van der Poel

Susan van der Poel

Senior project Support

06 - 2228 6543
Etto Salomons

Ir. Etto Salomons

Lecturer/Researcher

06 - 2249 0677 linkedin
Hans Schokker.jpg

Hans Schokker MSc

Lecturer/Researcher

06 - 1363 0143 linkedin
fotoIrene.jpg

Ir. Irene Sijgers

Project Manager

06 - 2239 8939 linkedin
Bram Ton.jpg

Bram Ton MSc

Lecturer/Researcher

06 - 4895 6169 linkedin
Kevin Wilmink

Kevin Wilmink Msc

Lecturer/ researcher

06 - 2395 5637 LinkedIn
Pieter Zijlstra

Pieter Zeilstra Msc

Lecturer/ researcher

06 - 3966 6074 LinkedIn