What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Neuroscience
- Machine learning
Reinhold Scherer mainly investigates Brain–computer interface, Electroencephalography, Motor imagery, Speech recognition and Artificial intelligence.
Reinhold Scherer has researched Brain–computer interface in several fields, including Feature extraction, Asynchronous communication, Human–computer interaction and Pattern recognition.
His Electroencephalography research integrates issues from Physical therapy, Rhythm, Physical medicine and rehabilitation and Brain mapping.
His Motor imagery research incorporates themes from Auditory imagery, Kinesthetic learning, GRASP and Neuroprosthetics.
He interconnects Virtual keyboard and Perception in the investigation of issues within Speech recognition.
His research in Artificial intelligence focuses on subjects like Pattern recognition, which are connected to Missing data.
His most cited work include:
- Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG. (503 citations)
- The Hybrid BCI (499 citations)
- A fully automated correction method of EOG artifacts in EEG recordings. (414 citations)
What are the main themes of his work throughout his whole career to date?
Reinhold Scherer focuses on Brain–computer interface, Electroencephalography, Artificial intelligence, Motor imagery and Human–computer interaction.
The study incorporates disciplines such as Speech recognition, Physical medicine and rehabilitation, Cerebral palsy and Communication in addition to Brain–computer interface.
His Electroencephalography study is focused on Neuroscience in general.
The concepts of his Artificial intelligence study are interwoven with issues in Machine learning, Computer vision and Pattern recognition.
His Motor imagery research includes elements of Auditory imagery, Mental image and Brain activity and meditation.
When carried out as part of a general Human–computer interaction research project, his work on Virtual reality and Usability is frequently linked to work in User interface and Virtual machine, therefore connecting diverse disciplines of study.
He most often published in these fields:
- Brain–computer interface (60.00%)
- Electroencephalography (40.00%)
- Artificial intelligence (27.06%)
What were the highlights of his more recent work (between 2013-2021)?
- Brain–computer interface (60.00%)
- Electroencephalography (40.00%)
- Artificial intelligence (27.06%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Brain–computer interface, Electroencephalography, Artificial intelligence, Human–computer interaction and Motor imagery.
His study of Sensorimotor rhythm is a part of Brain–computer interface.
His research integrates issues of Classifier, Gait, Speech recognition and Modulation in his study of Electroencephalography.
His studies in Artificial intelligence integrate themes in fields like Machine learning, Computer vision and Pattern recognition.
His studies deal with areas such as Communication device and Neuroprosthetics as well as Human–computer interaction.
As part of one scientific family, Reinhold Scherer deals mainly with the area of Motor imagery, narrowing it down to issues related to the Cognition, and often Grip force and GRASP.
Between 2013 and 2021, his most popular works were:
- EEG beta suppression and low gamma modulation are different elements of human upright walking (124 citations)
- High and low gamma EEG oscillations in central sensorimotor areas are conversely modulated during the human gait cycle. (110 citations)
- FORCe: Fully Online and Automated Artifact Removal for Brain-Computer Interfacing (109 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Machine learning
His primary areas of investigation include Electroencephalography, Brain–computer interface, Motor imagery, Speech recognition and Sensorimotor rhythm.
His Electroencephalography study is concerned with the field of Neuroscience as a whole.
His Brain–computer interface study integrates concerns from other disciplines, such as Classifier, Artificial intelligence, Human–computer interaction and Physical therapy.
His work in Motor imagery addresses issues such as Physical medicine and rehabilitation, which are connected to fields such as GRASP.
His Speech recognition research includes elements of Motor impairment, Spinal cord injury, Central nervous system and Kinesthetic learning.
As a part of the same scientific study, Reinhold Scherer usually deals with the Sensorimotor rhythm, concentrating on Cerebral palsy and frequently concerns with Rehabilitation and Neural correlates of consciousness.
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.
