World's Best Scientists 2026 revealed!
Kristof Van Laerhoven

Kristof Van Laerhoven

D-Index & Metrics

Computer Science

D-Index
36
Citations
6358
World Ranking
11154
National Ranking
559

Overview

Kristof Van Laerhoven is affiliated with the University of Siegen in Germany. Their research predominantly spans the fields of Computer Science and Engineering, with significant contributions in subfields such as Computer Vision and Pattern Recognition, Human-Computer Interaction, Biomedical Engineering, Cognitive Neuroscience, and Electrical and Electronic Engineering.

The scientist's research topics encompass a variety of areas related to wearable and context-aware technology. Key topics include:

  • Context-Aware Activity Recognition Systems
  • Human Pose and Action Recognition
  • EEG and Brain-Computer Interfaces
  • Physical Activity and Health
  • Human-Automation Interaction and Safety
  • Healthcare Technology and Patient Monitoring
  • Hand Gesture Recognition Systems

Van Laerhoven has co-authored numerous scientific papers with frequent collaborators including Marius Bock, Alexander Hoelzemann, Tilo Mentler, Michael Moeller, and Nadine Flegel.

Their recent publications demonstrate a focus on wearable monitoring systems and medical monitoring applications. Some notable papers include:

  • "Data quality evaluation in wearable monitoring", 2022, published in Scientific Reports
  • "Smartphone-Based Monitoring of Parkinson Disease: Quasi-Experimental Study to Quantify Hand Tremor Severity and Medication Effectiveness", 2020, JMIR mhealth and uhealth
  • "Wearable devices for seizure detection: Practical experiences and recommendations from the Wearables for Epilepsy And Research (WEAR) International Study Group", 2021, Epilepsia
  • "Detecting Tonic-Clonic Seizures in Multimodal Biosignal Data From Wearables: Methodology Design and Validation", 2021, JMIR mhealth and uhealth
  • "Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition Using Wrist-Worn Inertial Sensors", 2023, Sensors

Van Laerhoven's research outputs have been published in venues with diverse scopes, including arXiv (Cornell University), where 23 publications are listed, Frontiers in Computer Science, Zenodo (CERN European Organization for Nuclear Research), Sensors, and IEEE Pervasive Computing.

In addition to journal articles, they have contributed to book publications such as "2022 Computer Science - Editor's Pick," released by Frontiers Media in 2023.

Best Publications

  • Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection

    Philip Schmidt;Attila Reiss;Robert Duerichen;Claus Marberger

  • Advanced Interaction in Context

    Albrecht Schmidt;Kofi Asante Aidoo;Antti Takaluoma;Urpo Tuomela

  • Deep PPG: Large-Scale Heart Rate Estimation with Convolutional Neural Networks.

    Attila Reiss;Ina Indlekofer;Philip Schmidt;Kristof Van Laerhoven

  • What shall we teach our pants?

    Unknown

  • Advanced Interaction in Context

    Unknown

  • Exploring semi-supervised and active learning for activity recognition

    M. Stikic;K. Van Laerhoven;B. Schiele

  • ADL recognition based on the combination of RFID and accelerometer sensing

    M. Stikic;T. Huynh;K. Van Laerhoven;B. Schiele

  • How to build smart appliances

    A. Schmidt;K. van Laerhoven

  • Context Acquisition Based on Load Sensing

    Albrecht Schmidt;Martin Strohbach;Kristof van Laerhoven;Adrian Friday

  • Wearable-Based Affect Recognition-A Review.

    Philip Schmidt;Attila Reiss;Robert Dürichen;Kristof Van Laerhoven

  • Spine versus porcupine: a study in distributed wearable activity recognition

    K. Van Laerhoven;H.-W. Gellersen

  • Context Acquisition Based on Load Sensing

    Unknown

  • Medical Healthcare Monitoring with Wearable and Implantable Sensors

    Kristof Van Laerhoven;Benny P. L. Lo;Jason W. P. Ng;Surapa Thiemjarus

  • Multi-sensor context aware clothing

    K. Van Laerhoven;A. Schmidt;H.-W. Gellersen

  • Combining the Self-Organizing Map and K-Means Clustering for On-Line Classification of Sensor Data

    Kristof Van Laerhoven

  • myHealthAssistant: a phone-based body sensor network that captures the wearer's exercises throughout the day

    Christian Seeger;Alejandro Buchmann;Kristof Van Laerhoven

  • Pin&Play: the surface as network medium

    K. Van Laerhoven;N. Villar;A. Schmidt;H.-W. Gellersen

  • Detecting leisure activities with dense motif discovery

    Eugen Berlin;Kristof Van Laerhoven

  • Real-Time and Embedded Detection of Hand Gestures with an IMU-Based Glove

    Chaithanya Kumar Mummadi;Frederic Philips Peter Leo;Keshav Deep Verma;Shivaji Kasireddy

  • Real-time analysis of data from many sensors with neural networks

    Unknown

  • Combining wearable and environmental sensing into an unobtrusive tool for long-term sleep studies

    Marko Borazio;Kristof Van Laerhoven

  • Using rhythm awareness in long-term activity recognition

    K. Van Laerhoven;D. Kilian;B. Schiele

  • MyHealthAssistant: An Event-driven Middleware for Multiple Medical Applications on a Smartphone-Mediated Body Sensor Network

    Christian Seeger;Kristof Van Laerhoven;Alejandro Buchmann

  • Long term activity monitoring with a wearable sensor node

    K.V. Laerhoven;H.W. Gellersen;Y.G. Malliaris

  • Using an autonomous cube for basic navigation and input

    Kristof Van Laerhoven;Nicolas Villar;Albrecht Schmidt;Gerd Kortuem

Frequent Co-Authors

Alejandro Buchmann
Alejandro Buchmann Technical University of Darmstadt
Albrecht Schmidt
Albrecht Schmidt Ludwig-Maximilians-Universität München
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Hans Gellersen
Hans Gellersen Aarhus University
Nicolas Villar
Nicolas Villar Microsoft (United States)
Oliver Amft
Oliver Amft University of Erlangen-Nuremberg
Gerd Kortuem
Gerd Kortuem Delft University of Technology
Thomas Plötz
Thomas Plötz Georgia Institute of Technology
Daniel Roggen
Daniel Roggen University of Sussex
Mark P. Richardson
Mark P. Richardson King's College London

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