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Computer Science

D-Index
57
Citations
13327
World Ranking
3829
National Ranking
232

Overview

Daniel Roggen is a researcher affiliated with the University of Sussex in the United Kingdom. Their work spans several interconnected domains within computer science and engineering, with a focus on activity recognition, sensor technologies, and human mobility analysis.

Their main fields of study include:

  • Computer Science
  • Engineering

Within these broad areas, Daniel Roggen has contributed extensively to multiple subfields:

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Transportation
  • Polymers and Plastics
  • Artificial Intelligence

Their research topics further refine these interests into specific applications and methodologies. Notable topics covered in their publications encompass:

  • Context-Aware Activity Recognition Systems
  • Advanced Sensor and Energy Harvesting Materials
  • Non-Invasive Vital Sign Monitoring
  • Human Mobility and Location-Based Analysis
  • Conducting polymers and applications
  • Anomaly Detection Techniques and Applications
  • Gait Recognition and Analysis

Daniel Roggen has published scholarly articles in several peer-reviewed venues, producing multiple contributions across these platforms. Frequent publication venues include:

  • Frontiers in Computer Science
  • Advanced Materials Technologies
  • 2022 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
  • IEEE Sensors Journal
  • arXiv (Cornell University)

Some of Daniel Roggen's recent papers are:

  • "Transportation mode recognition fusing wearable motion, sound and vision sensors," 2020, IEEE Sensors Journal
  • "Digital Mobility Measures: A Window into Real-World Severity and Progression of Parkinson's Disease," 2023, Movement Disorders
  • "Three-Year Review of the 2018-2020 SHL Challenge on Transportation and Locomotion Mode Recognition From Mobile Sensors," 2021, Frontiers in Computer Science
  • "Coco Stretch: Strain Sensors Based on Natural Coconut Oil and Carbon Black Filled Elastomers," 2020, Advanced Materials Technologies
  • "Opportunity++: A Multimodal Dataset for Video- and Wearable, Object and Ambient Sensors-Based Human Activity Recognition," 2021, Frontiers in Computer Science

They have collaborated frequently with several researchers, including:

  • Niko Münzenrieder
  • Leonardo A. Garcia-Garcia
  • Arash Pouryazdan
  • Philip Birch
  • Paula Lago

In addition to journal articles and conference papers, Daniel Roggen has contributed to book publications through Springer Nature. Their books include:

  • "Activity and Behavior Computing," 2020
  • "Sensor- and Video-Based Activity and Behavior Computing," 2022

Best Publications

  • Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

    Francisco Javier Ordóñez;Daniel Roggen

  • Collecting complex activity datasets in highly rich networked sensor environments

    Daniel Roggen;Alberto Calatroni;Mirco Rossi;Thomas Holleczek

  • Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom

    M. Bachlin;M. Plotnik;D. Roggen;I. Maidan

  • The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition

    Ricardo Chavarriaga;Hesam Sagha;Alberto Calatroni;Sundara Tejaswi Digumarti

  • Wearable Activity Tracking in Car Manufacturing

    T. Stiefmeier;D. Roggen;G. Troster;G. Ogris

  • Activity recognition from on-body sensors: accuracy-power trade-off by dynamic sensor selection

    Piero Zappi;Clemens Lombriser;Thomas Stiefmeier;Elisabetta Farella

  • The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices

    Hristijan Gjoreski;Mathias Ciliberto;Lin Wang;Francisco Javier Ordonez Morales

  • Online detection of freezing of gait with smartphones and machine learning techniques

    Sinziana Mazilu;Michael Hardegger;Zack Zhu;Daniel Roggen

  • Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments

    Andreas Bulling;Daniel Roggen;Gerhard Tröster

  • Flexible Sensors—From Materials to Applications

    Júlio C. Costa;Filippo Spina;Pasindu Lugoda;Leonardo Garcia-Garcia

  • Enabling Reproducible Research in Sensor-Based Transportation Mode Recognition With the Sussex-Huawei Dataset

    Lin Wang;Hristijan Gjoreski;Mathias Ciliberto;Sami Mekki

  • A Wearable System to Assist Walking of Parkinson´s Disease Patients

    M. Bächlin;M. Plotnik;D. Roggen;N. Giladi

  • Exploring the acceptability of google glass as an everyday assistive device for people with parkinson's

    Roisin McNaney;John Vines;Daniel Roggen;Madeline Balaam

  • Activity recognition from on-body sensors by classifier fusion: sensor scalability and robustness

    P. Zappi;T. Stiefmeier;E. Farella;D. Roggen

  • Deep convolutional feature transfer across mobile activity recognition domains, sensor modalities and locations

    Francisco Javier Ordóñez Morales;Daniel Roggen

  • Recognition of crowd behavior from mobile sensors with pattern analysis and graph clustering methods

    Daniel Roggen;Martin Wirz;Gerhard Tröster;Dirk Helbing

  • Feature learning for detection and prediction of freezing of gait in parkinson's disease

    Sinziana Mazilu;Alberto Calatroni;Eran Gazit;Daniel Roggen

  • OPPORTUNITY: Towards opportunistic activity and context recognition systems

    Daniel Roggen;Kilian Forster;Alberto Calatroni;Thomas Holleczek

  • Benchmarking classification techniques using the Opportunity human activity dataset

    Hesam Sagha;Sundara Tejaswi Digumarti;Jose del R. Millan;Ricardo Chavarriaga

  • Wearable EOG goggles: eye-based interaction in everyday environments

    Andreas Bulling;Daniel Roggen;Gerhard Tröster

  • Recognition of visual memory recall processes using eye movement analysis

    Andreas Bulling;Daniel Roggen

  • Wearable Computing

    D Roggen;S Magnenat;M Waibel;G Troster

Frequent Co-Authors

Ricardo Chavarriaga
Ricardo Chavarriaga École Polytechnique Fédérale de Lausanne
Paul Lukowicz
Paul Lukowicz German Research Centre for Artificial Intelligence
Alois Ferscha
Alois Ferscha Johannes Kepler University of Linz
José del R. Millán
José del R. Millán The University of Texas at Austin
Andreas Bulling
Andreas Bulling University of Stuttgart
Paul J.M. Havinga
Paul J.M. Havinga University of Twente
Kristof Van Laerhoven
Kristof Van Laerhoven University of Siegen
Nir Giladi
Nir Giladi Tel Aviv University
Luca Benini
Luca Benini ETH Zurich

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