What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Electrical engineering
- Computer vision
His scientific interests lie mostly in Human–computer interaction, Artificial intelligence, Computer vision, Augmented reality and Mobile device.
His study in Human–computer interaction is interdisciplinary in nature, drawing from both Interaction technique, Multimedia and Immersion.
His studies in Multimedia integrate themes in fields like User interface design and User experience design.
His Gesture, Haptic technology and Input method study, which is part of a larger body of work in Artificial intelligence, is frequently linked to Position, bridging the gap between disciplines.
The various areas that Ivan Poupyrev examines in his Computer vision study include Illusion, Tactile illusions, Psychophysics and Brush.
Ivan Poupyrev has researched Augmented reality in several fields, including Virtual image, Tangible user interface and Robustness.
His most cited work include:
- 3D User Interfaces: Theory and Practice (1260 citations)
- Virtual object manipulation on a table-top AR environment (617 citations)
- TeslaTouch: electrovibration for touch surfaces (576 citations)
What are the main themes of his work throughout his whole career to date?
Ivan Poupyrev mainly investigates Human–computer interaction, Artificial intelligence, Computer vision, Gesture and Multimedia.
The Human–computer interaction study combines topics in areas such as Immersion and Mobile device.
Ivan Poupyrev focuses mostly in the field of Artificial intelligence, narrowing it down to matters related to Computer graphics and, in some cases, Handheld projector and Tracking.
His Computer vision research incorporates elements of Haptic technology and Electrovibration.
His Gesture study incorporates themes from Mode and Simulation.
He has researched Multimedia in several fields, including User experience design and Metaverse, Virtual reality.
He most often published in these fields:
- Human–computer interaction (39.33%)
- Artificial intelligence (26.40%)
- Computer vision (25.28%)
What were the highlights of his more recent work (between 2015-2021)?
- Gesture (20.22%)
- Artificial intelligence (26.40%)
- Computer vision (25.28%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Gesture, Artificial intelligence, Computer vision, Field and Human–computer interaction.
Ivan Poupyrev combines subjects such as Voice command device, Deep learning, Focus and Interrupt with his study of Gesture.
His studies deal with areas such as Extremely high frequency and Radio wave as well as Artificial intelligence.
The various areas that Ivan Poupyrev examines in his Computer vision study include Radar engineering details and Haptic technology.
His Mode and Augmented reality study in the realm of Human–computer interaction connects with subjects such as User device.
His Control research includes elements of Mixed reality, Computer-mediated reality and Graphics.
Between 2015 and 2021, his most popular works were:
- Soli: ubiquitous gesture sensing with millimeter wave radar (360 citations)
- Interacting with Soli: Exploring Fine-Grained Dynamic Gesture Recognition in the Radio-Frequency Spectrum (161 citations)
- Project Jacquard: Interactive Digital Textiles at Scale (147 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Electrical engineering
- Mathematics
His primary areas of study are Gesture, Gesture recognition, Computer vision, Artificial intelligence and Electronic component.
His studies in Gesture integrate themes in fields like Mode, Cognitive psychology and Presentation.
His research integrates issues of Radio wave, Speech recognition, Frame rate, Wide field and Haptic technology in his study of Gesture recognition.
His research on Computer vision frequently links to adjacent areas such as Extremely high frequency.
His Artificial intelligence research is multidisciplinary, incorporating elements of Radar signals, Focus and Low probability of intercept radar.
His Electronic component research is multidisciplinary, relying on both Thread, Computer hardware, Electronics, Electrical conductor and Electronic engineering.
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