D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 54 Citations 10,136 199 World Ranking 3050 National Ranking 190

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • The Internet

Daniel Roggen mainly focuses on Wearable computer, Activity recognition, Artificial intelligence, Human–computer interaction and Ubiquitous computing. His work carried out in the field of Wearable computer brings together such families of science as Gait, Parkinson's disease, Context awareness, Real-time computing and Physical therapy. His Activity recognition research is multidisciplinary, incorporating perspectives in Data mining, Data curation, Wireless sensor network and Sensor fusion.

His Artificial intelligence research is multidisciplinary, incorporating elements of Machine learning and Computer vision. His Human–computer interaction study combines topics from a wide range of disciplines, such as Software system, Software engineering and Pattern recognition. His Ubiquitous computing research incorporates themes from Ambient intelligence, Intelligent sensor and Mobile computing.

His most cited work include:

  • Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition (1019 citations)
  • Collecting complex activity datasets in highly rich networked sensor environments (383 citations)
  • Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom (322 citations)

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

His primary scientific interests are in Artificial intelligence, Activity recognition, Wearable computer, Human–computer interaction and Computer vision. His Artificial intelligence research includes themes of Machine learning and Pattern recognition. In the subject of general Machine learning, his work in Convolutional neural network is often linked to Field, thereby combining diverse domains of study.

His studies deal with areas such as Gesture recognition, Ubiquitous computing, Wireless sensor network, Ambient intelligence and Mobile device as well as Activity recognition. His research investigates the connection between Wearable computer and topics such as Physical medicine and rehabilitation that intersect with issues in Parkinson's disease. The various areas that he examines in his Human–computer interaction study include Computer security, Mobile computing and Pattern recognition.

He most often published in these fields:

  • Artificial intelligence (40.61%)
  • Activity recognition (34.01%)
  • Wearable computer (32.49%)

What were the highlights of his more recent work (between 2016-2021)?

  • Artificial intelligence (40.61%)
  • Activity recognition (34.01%)
  • Machine learning (11.68%)

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

His main research concerns Artificial intelligence, Activity recognition, Machine learning, Wearable computer and Deep learning. Artificial intelligence is closely attributed to Pattern recognition in his study. Daniel Roggen interconnects Human–computer interaction, Data mining, Mobile device and Computer vision in the investigation of issues within Activity recognition.

His work on Convolutional neural network is typically connected to Field and Mode as part of general Machine learning study, connecting several disciplines of science. His work carried out in the field of Wearable computer brings together such families of science as Sensor array, Real-time computing and Inertial measurement unit. His work investigates the relationship between Deep learning and topics such as Protocol that intersect with problems in Test data and Ubiquitous computing.

Between 2016 and 2021, his most popular works were:

  • The University of Sussex-Huawei Locomotion and Transportation Dataset for Multimodal Analytics With Mobile Devices (92 citations)
  • Enabling reproducible research in sensor-based transportation mode recognition with the Sussex-Huawei dataset (52 citations)
  • Flexible Sensors—From Materials to Applications (49 citations)

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

  • Artificial intelligence
  • Machine learning
  • The Internet

Daniel Roggen mostly deals with Activity recognition, Artificial intelligence, Deep learning, Protocol and Machine learning. His Activity recognition research incorporates elements of Analytics, Data mining and Mobile device. Segmentation and Active learning are the core of his Artificial intelligence study.

His studies in Deep learning integrate themes in fields like Decision tree, Naive Bayes classifier, Support vector machine, Random forest and Convolutional neural network. His study in Protocol is interdisciplinary in nature, drawing from both Ubiquitous computing, Human–computer interaction and Test data. His Machine learning study integrates concerns from other disciplines, such as Pipeline and Code.

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.

Best Publications

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

Francisco Javier Ordóñez;Daniel Roggen.
Sensors (2016)

1788 Citations

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

Francisco Javier Ordóñez;Daniel Roggen.
Sensors (2016)

1788 Citations

Collecting complex activity datasets in highly rich networked sensor environments

Daniel Roggen;Alberto Calatroni;Mirco Rossi;Thomas Holleczek.
international conference on networked sensing systems (2010)

627 Citations

Collecting complex activity datasets in highly rich networked sensor environments

Daniel Roggen;Alberto Calatroni;Mirco Rossi;Thomas Holleczek.
international conference on networked sensing systems (2010)

627 Citations

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

M. Bachlin;M. Plotnik;D. Roggen;I. Maidan.
international conference of the ieee engineering in medicine and biology society (2010)

590 Citations

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

M. Bachlin;M. Plotnik;D. Roggen;I. Maidan.
international conference of the ieee engineering in medicine and biology society (2010)

590 Citations

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

Ricardo Chavarriaga;Hesam Sagha;Alberto Calatroni;Sundara Tejaswi Digumarti.
Pattern Recognition Letters (2013)

527 Citations

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

Ricardo Chavarriaga;Hesam Sagha;Alberto Calatroni;Sundara Tejaswi Digumarti.
Pattern Recognition Letters (2013)

527 Citations

Wearable Activity Tracking in Car Manufacturing

T. Stiefmeier;D. Roggen;G. Troster;G. Ogris.
IEEE Pervasive Computing (2008)

385 Citations

Wearable Activity Tracking in Car Manufacturing

T. Stiefmeier;D. Roggen;G. Troster;G. Ogris.
IEEE Pervasive Computing (2008)

385 Citations

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