What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Mechanical engineering
- Computer vision
Haptic technology, Simulation, Control engineering, Control theory and Artificial intelligence are his primary areas of study.
His study in Haptic technology is interdisciplinary in nature, drawing from both Acoustics, Password, Visual feedback, Actuator and Stiffness.
His Simulation research includes themes of Motion, Torque, Miniaturization and Stewart platform.
His Control engineering study incorporates themes from Workspace, Nonlinear system, Linear actuator and Micromanipulator.
His study in Control theory is interdisciplinary in nature, drawing from both Control and Teleoperation.
The various areas that he examines in his Artificial intelligence study include Trajectory and Computer vision.
His most cited work include:
- Stable teleoperation with time domain passivity control (318 citations)
- A Time-Domain Inverse Dynamic Tracking Control of a Single-Link Flexible Manipulator (150 citations)
- The phone lock: audio and haptic shoulder-surfing resistant PIN entry methods for mobile devices (98 citations)
What are the main themes of his work throughout his whole career to date?
Dong-Soo Kwon mostly deals with Artificial intelligence, Robot, Haptic technology, Computer vision and Simulation.
His Artificial intelligence study frequently intersects with other fields, such as Pattern recognition.
His studies in Robot integrate themes in fields like Control theory and Human–computer interaction.
His Control theory study frequently links to other fields, such as Teleoperation.
Dong-Soo Kwon works mostly in the field of Haptic technology, limiting it down to topics relating to Actuator and, in certain cases, Tactile sensor.
In his research, Control engineering is intimately related to Workspace, which falls under the overarching field of Simulation.
He most often published in these fields:
- Artificial intelligence (30.97%)
- Robot (27.42%)
- Haptic technology (25.44%)
What were the highlights of his more recent work (between 2013-2021)?
- Artificial intelligence (30.97%)
- Robot (27.42%)
- Computer vision (22.49%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Artificial intelligence, Robot, Computer vision, Simulation and Haptic technology.
Artificial intelligence is closely attributed to Pattern recognition in his research.
His Robot research is multidisciplinary, incorporating perspectives in Surgical instrument, Surgery, Control theory and Endoscopic surgery.
As a part of the same scientific study, Dong-Soo Kwon usually deals with the Computer vision, concentrating on Social robot and frequently concerns with Speech recognition and Facial expression.
In his research on the topic of Simulation, Mechanism and Payload is strongly related with Workspace.
His Haptic technology study combines topics in areas such as Vibration, Actuator and Computer graphics.
Between 2013 and 2021, his most popular works were:
- Baseline CNN structure analysis for facial expression recognition (26 citations)
- Self-powered fall detection system using pressure sensing triboelectric nanogenerators (25 citations)
- Novel linear impact-resonant actuator for mobile applications (18 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Mechanical engineering
- Computer vision
Dong-Soo Kwon focuses on Artificial intelligence, Haptic technology, Computer vision, Simulation and Robot.
Dong-Soo Kwon regularly ties together related areas like Pattern recognition in his Artificial intelligence studies.
His Haptic technology research incorporates elements of Vibration, Acoustics and Actuator.
The study incorporates disciplines such as Planar, Normal and 3d geometry in addition to Computer vision.
His research investigates the connection between Simulation and topics such as Workspace that intersect with problems in Robot end effector, Torque, Payload, Control theory and Imaging phantom.
His Robot study incorporates themes from Surgical instrument, Surgery and Endoscopic surgery.
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