World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
8533
World Ranking
6854
National Ranking
329

Overview

Oliver Amft is affiliated with the University of Erlangen-Nuremberg in Germany. Their research spans the fields of Computer Science and Medicine, with a focus on subfields such as Biomedical Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Clinical Psychology, and General Health Professions.

Their scientific contributions include work related to several key topics, including:

  • Context-Aware Activity Recognition Systems
  • Eating Disorders and Behaviors
  • Balance, Gait, and Falls Prevention
  • Mobile Health and mHealth Applications
  • Muscle Activation and Electromyography Studies
  • Music and Audio Processing
  • Phonocardiography and Auscultation Techniques

Oliver Amft has published papers in frequent venues such as:

  • IEEE Pervasive Computing
  • Sensors
  • International Journal of Computer Assisted Radiology and Surgery
  • Journal of Magnetic Resonance Imaging
  • Scientific Reports

Some recent peer-reviewed papers authored or coauthored by Oliver Amft include:

  • "Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study," 2020, JMIR mhealth and uhealth
  • "Privacy Risk Awareness in Wearables and the Internet of Things," 2020, IEEE Pervasive Computing
  • "Wearables to Fight COVID-19: From Symptom Tracking to Contact Tracing," 2020, IEEE Pervasive Computing
  • "Co-simulation of human digital twins and wearable inertial sensors to analyse gait event estimation," 2023, Frontiers in Bioengineering and Biotechnology
  • "Estimating wearable motion sensor performance from personal biomechanical models and sensor data synthesis," 2020, Scientific Reports

Frequent coauthors collaborating with Oliver Amft include:

  • Adrian Derungs
  • Luis I. Lopera González
  • Lena Uhlenberg
  • Annalisa Baronetto
  • Valeska Stonawski

Best Publications

  • Best practice for motor imagery: a systematic literature review on motor imagery training elements in five different disciplines

    Corina Schuster;Roger Hilfiker;Oliver Amft;Anne Scheidhauer

  • Gesture spotting with body-worn inertial sensors to detect user activities

    Holger Junker;Oliver Amft;Paul Lukowicz;Gerhard Tröster

  • Advanced internet of things for personalised healthcare systems

    Jun Qi;Po Yang;Geyong Min;Oliver Amft

  • Recognition of dietary activity events using on-body sensors

    Oliver Amft;Gerhard Tröster

  • Analysis of chewing sounds for dietary monitoring

    Oliver Amft;Mathias Stäger;Paul Lukowicz;Gerhard Tröster

  • Recognizing Upper Body Postures using Textile Strain Sensors

    C. Mattmann;O. Amft;H. Harms;G. Troster

  • Detection of eating and drinking arm gestures using inertial body-worn sensors

    O. Amft;H. Junker;G. Troster

  • On-Body Sensing Solutions for Automatic Dietary Monitoring

    O. Amft;G. Troster

  • Active capacitive sensing: exploring a new wearable sensing modality for activity recognition

    Jingyuan Cheng;Oliver Amft;Paul Lukowicz

  • Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study.

    Johannes Knitza;David Simon;Antonia Lambrecht;Christina Raab

  • A benchmark dataset to evaluate sensor displacement in activity recognition

    Oresti Baños;Miguel Damas;Héctor Pomares;Ignacio Rojas

  • Rapid Prototyping of Activity Recognition Applications

    D. Bannach;P. Lukowicz;O. Amft

  • A Distributed PIR-based Approach for Estimating People Count in Office Environments

    F. Wahl;M. Milenkovic;O. Amft

  • Estimating Energy Expenditure Using Body-Worn Accelerometers: A Comparison of Methods, Sensors Number and Positioning

    Marco Altini;Julien Penders;Ruud Vullers;Oliver Amft

  • Monitoring Chewing and Eating in Free-Living Using Smart Eyeglasses

    Rui Zhang;Oliver Amft

  • Bite Weight Prediction From Acoustic Recognition of Chewing

    O. Amft;M. Kusserow;G. Troster

  • Effect of 'activity monitor-based' counseling on physical activity and health-related outcomes in patients with chronic diseases: A systematic review and meta-analysis.

    Anouk W. Vaes;Amy Cheung;Maryam Atakhorrami;Miriam T. J. Groenen

  • A wearable earpad sensor for chewing monitoring

    Oliver Amft

  • From Backpacks to Smartphones: Past, Present, and Future of Wearable Computers

    O. Amft;P. Lukowicz

  • Sensing muscle activities with body-worn sensors

    O. Amft;H. Junker;P. Lukowicz;G. Troster

Frequent Co-Authors

Paul Lukowicz
Paul Lukowicz German Research Centre for Artificial Intelligence
Kai Kunze
Kai Kunze Keio University
Kristof Van Laerhoven
Kristof Van Laerhoven University of Siegen
Daniel Roggen
Daniel Roggen University of Sussex
Daniel P. Siewiorek
Daniel P. Siewiorek Carnegie Mellon University
Paul J.M. Havinga
Paul J.M. Havinga University of Twente
Pierluigi Paggiaro
Pierluigi Paggiaro University of Pisa
Hauke Harms
Hauke Harms Helmholtz Centre for Environmental Research

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

As the demand for technology and STEM experts grows, students exploring Computer Science in the USA often consider parallel fields and alternative career pathways. Many reputable universities now offer fully remote degree programs, making these paths much more accessible and affordable.

For those interested in addressing environmental challenges, an environmental engineering bachelor's degree online offers a blend of tech and sustainability, preparing graduates for roles in both public and private sectors. Similarly, if you are drawn to design, manufacturing, and robotics, an online mechanical engineering degree can open doors to diverse industries from aerospace to automotive.

Those with an interest in research or theoretical work may benefit from seeking the cheapest online physics degree, allowing for flexibility alongside affordability. For data-driven career paths, aspiring data analysts and scientists frequently ask, what is the cheapest data science course in the us?—and the answer lies in comparing top-rated, cost-effective online programs.

Exploring these alternative online degrees expands your career opportunities and provides a flexible, affordable way to gain specialized skills relevant across the technology sector.

Best Scientists Citing Oliver Amft

Trending Scientists

Recently Published Articles