H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 33 Citations 5,073 140 World Ranking 6575 National Ranking 315

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Internal medicine

Oliver Amft mostly deals with Activity recognition, Wearable computer, Computer vision, Artificial intelligence and Real-time computing. His biological study spans a wide range of topics, including Ubiquitous computing and Conductive textile. His work on Inertial measurement unit as part of general Computer vision study is frequently linked to Upper body, Resistance response and Strain sensor, bridging the gap between disciplines.

His Inertial measurement unit research incorporates themes from Spotting, Gesture, Gesture recognition and Speech recognition, Hidden Markov model. His work in the fields of Artificial intelligence, such as Classification rate and Benchmark, intersects with other areas such as Clothing industry and Work. His Real-time computing study integrates concerns from other disciplines, such as Range, Simulation, Energy expenditure and Activity classification.

His most cited work include:

  • Gesture spotting with body-worn inertial sensors to detect user activities (309 citations)
  • Best practice for motor imagery: a systematic literature review on motor imagery training elements in five different disciplines (231 citations)
  • Recognizing Upper Body Postures using Textile Strain Sensors (191 citations)

What are the main themes of his work throughout his whole career to date?

Oliver Amft mainly focuses on Wearable computer, Artificial intelligence, Activity recognition, Simulation and Human–computer interaction. His work deals with themes such as Ubiquitous computing, Speech recognition, Energy expenditure and Mobile computing, which intersect with Wearable computer. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Machine learning, Computer vision and Pattern recognition.

In his study, Energy is strongly linked to Real-time computing, which falls under the umbrella field of Activity recognition. His Human–computer interaction research is multidisciplinary, relying on both Context awareness and Embedded system. His studies deal with areas such as Inertial measurement unit and Gesture as well as Hidden Markov model.

He most often published in these fields:

  • Wearable computer (30.39%)
  • Artificial intelligence (26.96%)
  • Activity recognition (17.65%)

What were the highlights of his more recent work (between 2017-2021)?

  • Wearable computer (30.39%)
  • Ubiquitous computing (11.27%)
  • Artificial intelligence (26.96%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Wearable computer, Ubiquitous computing, Artificial intelligence, Human–computer interaction and Physical medicine and rehabilitation. Oliver Amft works mostly in the field of Wearable computer, limiting it down to topics relating to Motion sensors and, in certain cases, Feature extraction, as a part of the same area of interest. His study explores the link between Ubiquitous computing and topics such as Wearable technology that cross with problems in E-textiles and Flexible electronics.

His Artificial intelligence research is mostly focused on the topic Spotting. His Human–computer interaction research includes themes of Wearable sensing and Set. His work in Pattern recognition addresses subjects such as Gesture, which are connected to disciplines such as Inertial measurement unit.

Between 2017 and 2021, his most popular works were:

  • Monitoring Chewing and Eating in Free-Living Using Smart Eyeglasses (53 citations)
  • Automatic Dietary Monitoring Using Wearable Accessories (14 citations)
  • Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study. (12 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Internal medicine

Oliver Amft spends much of his time researching Wearable computer, Human–computer interaction, Wearable sensing, Ubiquitous computing and Dietary monitoring. His Wearable computer research is multidisciplinary, incorporating elements of Event and Internet privacy. His Human–computer interaction study frequently involves adjacent topics like Human body.

The various areas that Oliver Amft examines in his Ubiquitous computing study include Information privacy and Medical services. There are a combination of areas like Mastication, Surgery, Audiology, Monitoring ambulatory and Natural food integrated together with his Dietary monitoring study.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

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

Holger Junker;Oliver Amft;Paul Lukowicz;Gerhard Tröster.
Pattern Recognition (2008)

457 Citations

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.
BMC Medicine (2011)

371 Citations

Recognition of dietary activity events using on-body sensors

Oliver Amft;Gerhard Tröster.
Artificial Intelligence in Medicine (2008)

240 Citations

Analysis of chewing sounds for dietary monitoring

Oliver Amft;Mathias Stäger;Paul Lukowicz;Gerhard Tröster.
ubiquitous computing (2005)

236 Citations

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

O. Amft;H. Junker;G. Troster.
international symposium on wearable computers (2005)

229 Citations

Recognizing Upper Body Postures using Textile Strain Sensors

C. Mattmann;O. Amft;H. Harms;G. Troster.
international symposium on wearable computers (2007)

209 Citations

Advanced internet of things for personalised healthcare systems

Jun Qi;Po Yang;Geyong Min;Oliver Amft.
Pervasive and Mobile Computing (2017)

209 Citations

On-Body Sensing Solutions for Automatic Dietary Monitoring

O. Amft;G. Troster.
IEEE Pervasive Computing (2009)

191 Citations

Rapid Prototyping of Activity Recognition Applications

D. Bannach;P. Lukowicz;O. Amft.
IEEE Pervasive Computing (2008)

162 Citations

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

Jingyuan Cheng;Oliver Amft;Paul Lukowicz.
international conference on pervasive computing (2010)

149 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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

Contact us

Top Scientists Citing Oliver Amft

Gerhard Tröster

Gerhard Tröster

ETH Zurich

Publications: 90

Daniel Roggen

Daniel Roggen

University of Sussex

Publications: 54

Paul Lukowicz

Paul Lukowicz

German Research Centre for Artificial Intelligence

Publications: 47

Aymeric Guillot

Aymeric Guillot

Claude Bernard University Lyon 1

Publications: 24

Andreas Bulling

Andreas Bulling

University of Stuttgart

Publications: 22

Majid Sarrafzadeh

Majid Sarrafzadeh

University of California, Los Angeles

Publications: 21

Diane J. Cook

Diane J. Cook

Washington State University

Publications: 15

Héctor Pomares

Héctor Pomares

University of Granada

Publications: 14

Ignacio Rojas

Ignacio Rojas

University of Granada

Publications: 13

Carlo Menon

Carlo Menon

Simon Fraser University

Publications: 12

Hans Gellersen

Hans Gellersen

Aarhus University

Publications: 12

Roozbeh Jafari

Roozbeh Jafari

Texas A&M University

Publications: 11

Martijn A. Spruit

Martijn A. Spruit

Maastricht University Medical Centre

Publications: 10

Jeffrey M. Hausdorff

Jeffrey M. Hausdorff

Rush University Medical Center

Publications: 10

Christian Collet

Christian Collet

Claude Bernard University Lyon 1

Publications: 10

Something went wrong. Please try again later.