Wayne Carl Westerman

What is he best known for?

The fields of study he is best known for:

• Artificial intelligence
• Electrical engineering
• Computer vision

Gesture, Artificial intelligence, Computer vision, Human–computer interaction and Computer graphics are his primary areas of study. Many of his studies on Gesture apply to Speech recognition as well. His Multi-touch and Segmentation study are his primary interests in Artificial intelligence.

His research integrates issues of Input device and Electrode array in his study of Computer vision. His Input device study combines topics from a wide range of disciplines, such as Simulation, State and Pointing device. His Human–computer interaction research incorporates elements of Graphical user interface and Conjunction.

His most cited work include:

• Method and apparatus for integrating manual input (2543 citations)
• Touch screen device, method, and graphical user interface for determining commands by applying heuristics (2124 citations)
• Gesturing with a multipoint sensing device (1025 citations)

What are the main themes of his work throughout his whole career to date?

His main research concerns Artificial intelligence, Computer vision, Gesture, Surface and Signal. Many of his studies involve connections with topics such as Stylus and Artificial intelligence. Wayne Carl Westerman regularly links together related areas like Input device in his Computer vision studies.

His work carried out in the field of Gesture brings together such families of science as Computer graphics, Speech recognition, Human–computer interaction, Finger movement and Object. The Signal study combines topics in areas such as Electronic engineering and Sense. His Multi-touch research integrates issues from Engineering drawing and Electronics.

He most often published in these fields:

• Artificial intelligence (53.27%)
• Computer vision (52.34%)
• Gesture (26.17%)

What were the highlights of his more recent work (between 2013-2020)?

• Computer vision (52.34%)
• Artificial intelligence (53.27%)
• Input device (10.28%)

In recent papers he was focusing on the following fields of study:

Wayne Carl Westerman spends much of his time researching Computer vision, Artificial intelligence, Input device, Electronic engineering and Acoustics. His Stylus, Object and Pixel study in the realm of Computer vision interacts with subjects such as Ellipse and Column. His study deals with a combination of Artificial intelligence and Set.

His study explores the link between Input device and topics such as Electronics that cross with problems in Matched filter, Multi-touch, Small form factor and Subspace topology. His Electronic engineering study integrates concerns from other disciplines, such as Demodulation, Sense, Communication channel, Waveform and Calibration. His Acoustics study combines topics in areas such as Viewport, Simulation and Engineering drawing.

Between 2013 and 2020, his most popular works were:

• Devices and Methods for Processing Touch Inputs Based on Their Intensities (39 citations)
• Dynamic Range Control for Optical Encoders (30 citations)
• Apportionment of Forces for Multi-Touch Input Devices of Electronic Devices (27 citations)

In his most recent research, the most cited papers focused on:

• Artificial intelligence
• Computer vision
• Electrical engineering

Wayne Carl Westerman focuses on Electronic engineering, Input device, Force sensor, Artificial intelligence and Computer vision. His Electronic engineering research includes themes of Dynamic range compression, Waveform, Signal, Calibration and Haptic technology. The study incorporates disciplines such as Matched filter, Field calibration, Electrical engineering and Control theory in addition to Input device.

His Force sensor research encompasses a variety of disciplines, including Electronics, Deflection, Multi-touch, Centroid and User input. His research combines Shell and Artificial intelligence. His studies in Computer vision integrate themes in fields like Event and Input impedance.