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  1. Article

    Open Access

    Optimizing Adaptive Notifications in Mobile Health Interventions Systems: Reinforcement Learning from a Data-driven Behavioral Simulator

    Mobile health (mHealth) intervention systems can employ adaptive strategies to interact with users. Instead of designing such complex strategies manually, reinforcement learning (RL) can be used to adaptively ...

    Shihan Wang, Chao Zhang, Ben Kröse, Herke van Hoof in Journal of Medical Systems (2021)

  2. No Access

    Chapter

    Co-Creating Hybrid Toys as an Approach to Understand Children’s Needs in Play Experience

    Using hybrid toys to deliver physical therapy is an innovative way to engage children in personalised healthcare. However, there is an urgency to understand children’s needs in their digital-physical play expe...

    Tamara Pinos Cisneros, Felipe Escobar Vega in Young Children’s Rights in a Digital World (2021)

  3. Article

    Open Access

    Effectiveness of sensor monitoring in an occupational therapy rehabilitation program for older individuals after hip fracture, the SO-HIP trial: study protocol of a three-arm stepped wedge cluster randomized trial

    The performance of activities of daily living (ADL) at home is important for the recovery of older individuals after hip fracture. However, 20–90% of these individuals lose ADL function and never fully recover...

    Margriet C. Pol, Gerben ter Riet, Margo van Hartingsveldt in BMC Health Services Research (2017)

  4. Chapter and Conference Paper

    FIT Decision Aid: Matching the Needs of People with Dementia and Caregivers with Products and Services

    Although there exist various product and services to support people with dementia in their everyday activities and challenges, people with dementia and their informal caregivers experience many unmet needs. In...

    Nazli Cila, Hester van Zuthem, Fleur Thomése in Human-Computer Interaction – INTERACT 2017 (2017)

  5. No Access

    Reference Work Entry In depth

    Analysis of Home Health Sensor Data

    This chapter focuses on the analysis of data that is collected from sensors in the home environment. First we discuss the need for a good model that relates sensor data (or features derived from the data) to i...

    Ben Kröse in Handbook of Smart Homes, Health Care and Well-Being (2017)

  6. No Access

    Article

    RARE: people detection in crowded passages by range image reconstruction

    In this paper, we address the problem of people detection and tracking in crowded scenes using range cameras. We propose a new method for people detection and localisation based on the combination of backgroun...

    Tim van Oosterhout, Gwenn Englebienne, Ben Kröse in Machine Vision and Applications (2015)

  7. No Access

    Chapter and Conference Paper

    Happy Running?

    This paper explores a method for deducing the affective state of runners using his/her movements. The movements are measured on the arm using a smartphone’s built-in accelerometer. Multiple features are derive...

    Joey van der Bie, Ben Kröse in Ambient Intelligence (2015)

  8. No Access

    Chapter and Conference Paper

    How Are You Doing? Enabling Older Adults to Enrich Sensor Data with Subjective Input

    Technology designed to sense behavior, often neglects to directly incorporate subjective input from (elderly) users. This paper presents experiences in deploying technology that considers the elderly user an...

    Marije Kanis, Saskia Robben, Ben Kröse in Human Behavior Understanding (2015)

  9. No Access

    Chapter and Conference Paper

    Continuous Gait Velocity Analysis Using Ambient Sensors in a Smart Home

    We present a method for measuring gait velocity using data from an existing ambient sensor network. Gait velocity is an important predictor of fall risk and functional health. In contrast to other approaches t...

    Ahmed Nait Aicha, Gwenn Englebienne, Ben Kröse in Ambient Intelligence (2015)

  10. No Access

    Living Reference Work Entry In depth

    Analysis of Home Health Sensor Data

    This chapter focuses on the analysis of data that is collected from sensors in the home environment. First we discuss the need for a good model that relates sensor data (or features derived from the data) to i...

    Ben Kröse in Handbook of Smart Homes, Health Care and Well-Being

  11. No Access

    Chapter and Conference Paper

    Reducing Dementia Related Wandering Behaviour with an Interactive Wall

    People suffering from dementia often have problems with way finding and feel restless. In this paper we present an interactive wall developed for decreasing the amount of wandering behaviour of people sufferin...

    Saskia Robben, Kyra Bergman, Sven Haitjema, Yannick de Lange in Ambient Intelligence (2012)

  12. No Access

    Chapter and Conference Paper

    Living Labs as Educational Tool for Ambient Intelligence

    The way that innovation is currently done requires a new research methodology that enables co-creation and frequent, iterative evaluation in real-world settings. This paper describes the employment of the livi...

    Ben Kröse, Mettina Veenstra, Saskia Robben, Marije Kanis in Ambient Intelligence (2012)

  13. No Access

    Chapter and Conference Paper

    Ambient Monitoring from an Elderly-Centred Design Perspective: What, Who and How

    This paper describes a participatory design-oriented study of an ambient assisted living system for monitoring the daily activities of elderly residents. The work presented addresses these questions 1) What da...

    Marije Kanis, Sean Alizadeh, Jesse Groen, Milad Khalili in Ambient Intelligence (2011)

  14. No Access

    Chapter

    Activity Monitoring Systems in Health Care

    This chapter focuses on activity monitoring in a home setting for health care purposes. First the most current sensing systems are described, which consist of wearable and ambient sensors. Then several approac...

    Ben Kröse, Tim van Oosterhout, Tim van Kasteren in Computer Analysis of Human Behavior (2011)

  15. Article

    Open Access

    Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model

    This paper proposes a model of technology acceptance that is specifically developed to test the acceptance of assistive social agents by elderly users. The research in this paper develops and tests an adaptati...

    Marcel Heerink, Ben Kröse, Vanessa Evers in International Journal of Social Robotics (2010)

  16. Article

    Open Access

    Relating conversational expressiveness to social presence and acceptance of an assistive social robot

    Exploring the relationship between social presence, conversational expressiveness, and robot acceptance, we set up an experiment with a robot in an eldercare institution, comparing a more and less social condi...

    Marcel Heerink, Ben Kröse, Vanessa Evers, Bob Wielinga in Virtual Reality (2010)

  17. No Access

    Chapter

    People Detection Using Multiple Sensors on a Mobile Robot

    This chapter considers the important problem of dealing with multiple sensors. An approach for combining information from multiple sensors for people detection on a mobile robot is described. A person will be ...

    Zoran Zivkovic, Ben Kröse in Unifying Perspectives in Computational and Robot Vision (2008)

  18. Chapter and Conference Paper

    Tracking Humans

    In a human-inhabited environment it is essential that a robot which interacts with humans is able to keep track of them when they move around in the environment. This is not an easy job. Multiple people may be...

    Ben Kröse, Taylan Cemgil, Wojciech Zajdel in Building the Information Society (2004)

  19. No Access

    Article

    Neural Q-learning

    In this paper we introduce a novel neural reinforcement learning method. Unlike existing methods, our approach does not need a model of the system and can be trained directly using the measurements of the syst...

    Stephan ten Hagen, Ben Kröse in Neural Computing & Applications (2003)

  20. No Access

    Chapter and Conference Paper

    Coordinating Principal Component Analyzers

    Mixtures of Principal Component Analyzers can be used to model high dimensional data that lie on or near a low dimensional manifold. By linearly map** the PCA subspaces to one global low dimensional space, w...

    Jakob J. Verbeek, Nikos Vlassis, Ben Kröse in Artificial Neural Networks — ICANN 2002 (2002)

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