What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Computer vision
- Graphical user interface
Jeffrey Traer Bernstein mainly investigates Graphical user interface, Gesture, Capacitive sensing, Electronic engineering and Acoustics.
Graphical user interface is connected with Computer graphics and Focus in his research.
A component of his Gesture study involves Computer vision and Artificial intelligence.
His study in the field of Gesture recognition also crosses realms of Controller.
His work deals with themes such as Object and Inkwell, which intersect with Capacitive sensing.
The concepts of his Acoustics study are interwoven with issues in Pixel, Optoelectronics, Photodiode and Proximity sensor.
His most cited work include:
- Touch pad with force sensors and actuator feedback (484 citations)
- Touch and hover sensing (235 citations)
- Capacitive sensor panel having dynamically reconfigurable sensor size and shape (207 citations)
What are the main themes of his work throughout his whole career to date?
Jeffrey Traer Bernstein mainly focuses on Artificial intelligence, Graphical user interface, Computer vision, Object and Gesture.
Among his Graphical user interface studies, you can observe a synthesis of other disciplines of science such as Movement, Computer graphics, Focus, Intensity and Acoustics.
His Acoustics research integrates issues from Capacitive sensing and Intensity.
His Computer vision study which covers Signal that intersects with Control system.
He works mostly in the field of Object, limiting it down to topics relating to Computer hardware and, in certain cases, Mechanism.
His Gesture research incorporates themes from Mode and Human–computer interaction.
He most often published in these fields:
- Artificial intelligence (43.43%)
- Graphical user interface (42.42%)
- Computer vision (42.42%)
What were the highlights of his more recent work (between 2017-2021)?
- Computer vision (42.42%)
- Artificial intelligence (43.43%)
- Graphical user interface (42.42%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Computer vision, Artificial intelligence, Graphical user interface, Object and Human–computer interaction.
Computer vision is represented through his Gesture, Image and Stylus research.
Jeffrey Traer Bernstein interconnects Visual feedback and Selection in the investigation of issues within Gesture.
In his papers, Jeffrey Traer Bernstein integrates diverse fields, such as Graphical user interface, Computer graphics, Movement, Home screen, Field of view and Mode.
The Graphics research Jeffrey Traer Bernstein does as part of his general Computer graphics study is frequently linked to other disciplines of science, such as Event and Start time, therefore creating a link between diverse domains of science.
His Object based study, which is part of a larger body of work in Object, is frequently linked to Surface, bridging the gap between disciplines.
Between 2017 and 2021, his most popular works were:
- Devices, methods, and graphical user interfaces for navigating between user interfaces and interacting with control objects (30 citations)
- Systems, methods, and graphical user interfaces for interacting with augmented and virtual reality environments (22 citations)
- Devices, methods, and graphical user interfaces for moving user interface objects (6 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Graphical user interface
- Computer vision
Graphical user interface, Movement, Object, Computer graphics and Artificial intelligence are his primary areas of study.
His Graphical user interface studies intersect with other subjects such as Power mode, Mode and Computer hardware.
His work in Movement tackles topics such as Control which are related to areas like Human–computer interaction.
His study focuses on the intersection of Object and fields such as Representation with connections in the field of Virtual reality, Field of view and Augmented reality.
His research on Artificial intelligence often connects related areas such as Computer vision.
He performs integrative Gesture and Surface research in his work.
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