What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Machine learning
Brain–computer interface, Artificial intelligence, Human–computer interaction, Motor imagery and Virtual reality are his primary areas of study.
Brain–computer interface is a subfield of Electroencephalography that Robert Leeb studies.
His study in the field of Pattern recognition is also linked to topics like Competition.
The Usability research Robert Leeb does as part of his general Human–computer interaction study is frequently linked to other disciplines of science, such as Quality, therefore creating a link between diverse domains of science.
Robert Leeb studied Virtual reality and Computer vision that intersect with Neurofeedback, Communication and Computer graphics.
His study explores the link between Asynchronous communication and topics such as Wheelchair that cross with problems in Simulation.
His most cited work include:
- Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges (614 citations)
- A fully automated correction method of EOG artifacts in EEG recordings. (414 citations)
- Review of the BCI Competition IV (387 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Brain–computer interface, Human–computer interaction, Artificial intelligence, Motor imagery and Electroencephalography.
Robert Leeb merges Brain–computer interface with Field in his research.
Robert Leeb works mostly in the field of Human–computer interaction, limiting it down to topics relating to Robot and, in certain cases, End user.
His biological study deals with issues like Computer vision, which deal with fields such as Eye movement.
His Motor imagery research is multidisciplinary, incorporating elements of Healthy subjects and Communication.
His Brain activity and meditation study in the realm of Electroencephalography connects with subjects such as Work and Decoding methods.
He most often published in these fields:
- Brain–computer interface (65.64%)
- Human–computer interaction (41.10%)
- Artificial intelligence (26.38%)
What were the highlights of his more recent work (between 2014-2020)?
- Brain–computer interface (65.64%)
- Artificial intelligence (26.38%)
- Physical medicine and rehabilitation (7.98%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Brain–computer interface, Artificial intelligence, Physical medicine and rehabilitation, Neuroscience and Electroencephalography.
Robert Leeb studies Motor imagery, a branch of Brain–computer interface.
The Artificial intelligence study combines topics in areas such as Machine learning and Computer vision.
His Physical medicine and rehabilitation research is multidisciplinary, relying on both Stroke, Physical therapy, Functional electrical stimulation and Embedded system.
While the research belongs to areas of Electroencephalography, Robert Leeb spends his time largely on the problem of Rhythm, intersecting his research to questions surrounding Visualization and Communication.
His study on Modality is often connected to Universal usability as part of broader study in Human–computer interaction.
Between 2014 and 2020, his most popular works were:
- Towards Independence: A BCI Telepresence Robot for People With Severe Motor Disabilities (101 citations)
- Towards Noninvasive Hybrid Brain–Computer Interfaces: Framework, Practice, Clinical Application, and Beyond (100 citations)
- Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke (99 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Machine learning
Robert Leeb spends much of his time researching Brain–computer interface, Electroencephalography, Motor imagery, Speech recognition and GRASP.
His Brain–computer interface research includes elements of Rehabilitation, Functional electrical stimulation, Physical medicine and rehabilitation, Human–computer interaction and Simulation.
Robert Leeb applies his multidisciplinary studies on Human–computer interaction and Independence in his research.
His Electroencephalography study incorporates themes from Stroke and Neuroplasticity.
He combines subjects such as Session, Linear discriminant analysis and Communication with his study of Motor imagery.
His Speech recognition research includes themes of Visualization, Artificial intelligence and Rhythm.
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