What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Operating system
- Computer vision
His scientific interests lie mostly in Human–computer interaction, Multimedia, Speech recognition, Artificial intelligence and Artificial neural network.
As a part of the same scientific study, he usually deals with the Human–computer interaction, concentrating on User interface and frequently concerns with Computer graphics.
His Multimedia research is multidisciplinary, relying on both New Interfaces for Musical Expression, Affordance and Musical expression, Musical.
The study incorporates disciplines such as Interface and Gesture in addition to Speech recognition.
His Artificial intelligence research incorporates elements of Presentation, Computer vision and Natural language processing.
His work carried out in the field of Computer vision brings together such families of science as Stability, Selection and Measure.
His most cited work include:
- Glove-Talk: a neural network interface between a data-glove and a speech synthesizer (323 citations)
- A Linear Programming Approach for Multiple Object Tracking (285 citations)
- Evaluation of Background Subtraction Algorithms with Post-Processing (172 citations)
What are the main themes of his work throughout his whole career to date?
Sidney Fels mostly deals with Artificial intelligence, Human–computer interaction, Computer vision, Multimedia and Speech recognition.
His Artificial intelligence study integrates concerns from other disciplines, such as Machine learning and Pattern recognition.
His Human–computer interaction research integrates issues from User interface, Interface and Mobile device.
Sidney Fels usually deals with Computer vision and limits it to topics linked to Computer graphics and Visualization.
While the research belongs to areas of Multimedia, he spends his time largely on the problem of Musical, intersecting his research to questions surrounding Interface.
His work on Gesture expands to the thematically related Speech recognition.
He most often published in these fields:
- Artificial intelligence (25.90%)
- Human–computer interaction (21.03%)
- Computer vision (18.46%)
What were the highlights of his more recent work (between 2015-2021)?
- Artificial intelligence (25.90%)
- Speech recognition (11.28%)
- Computer vision (18.46%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Speech recognition, Computer vision, Human–computer interaction and Vocal tract.
His Artificial intelligence study combines topics from a wide range of disciplines, such as Imagined speech, Machine learning and Polygon mesh.
His Speech recognition research includes themes of Interface and Deep learning.
His Interface research incorporates themes from Multimodal interaction and Gesture.
In his work, Visualization and Virtual reality is strongly intertwined with Computer graphics, which is a subfield of Computer vision.
The various areas that Sidney Fels examines in his Human–computer interaction study include Video based learning, Focus and Musical.
Between 2015 and 2021, his most popular works were:
- FRANK: A Hybrid 3D Biomechanical Model of the Head and Neck (16 citations)
- Role of muscle damage on loading at the level adjacent to a lumbar spine fusion: a biomechanical analysis. (12 citations)
- Coglobe: a co-located multi-person FTVR experience (10 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Operating system
- Computer vision
Sidney Fels focuses on Artificial intelligence, Speech recognition, Imagined speech, Computer graphics and Speech synthesis.
His biological study spans a wide range of topics, including Machine learning and Computer vision.
His research in Computer vision intersects with topics in Multislice ct and High spatial resolution.
Sidney Fels has included themes like Muscle activation and Identification in his Speech recognition study.
The Computer graphics study combines topics in areas such as Visualization, Virtual reality and Musical.
His studies deal with areas such as Acoustics, Autoencoder, Deep learning and Discriminative model as well as Speech synthesis.
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