What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Geometry
- Neuroscience
His primary areas of study are Communication, Computer vision, Artificial intelligence, Movement and Kinematics.
He has included themes like Space and Orientation in his Communication study.
John F. Soechting interconnects Transformation and Position in the investigation of issues within Computer vision.
The Transformation study which covers Psychophysics that intersects with Three-dimensional space and Frame of reference.
His Movement study incorporates themes from Motion and Representation.
His Kinematics research integrates issues from Work, Degrees of freedom and Plane.
His most cited work include:
- Invariant characteristics of a pointing movement in man (580 citations)
- Sensorimotor representations for pointing to targets in three-dimensional space (461 citations)
- Early stages in a sensorimotor transformation (406 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Artificial intelligence, Communication, Computer vision, Control theory and Movement.
His Artificial intelligence research is multidisciplinary, relying on both Optics, Frame of reference, Position, Transformation and Pattern recognition.
John F. Soechting integrates Communication and Body movement in his studies.
His biological study spans a wide range of topics, including Space, Point and Psychophysics.
The Movement study combines topics in areas such as Kinematics, Representation, Wrist, Sensory system and Dorsum.
His work deals with themes such as Work and Three-dimensional space, which intersect with Kinematics.
He most often published in these fields:
- Artificial intelligence (29.36%)
- Communication (27.52%)
- Computer vision (24.77%)
What were the highlights of his more recent work (between 2002-2020)?
- Artificial intelligence (29.36%)
- Computer vision (24.77%)
- Optics (6.42%)
In recent papers he was focusing on the following fields of study:
His main research concerns Artificial intelligence, Computer vision, Optics, Communication and Haptic perception.
John F. Soechting merges Artificial intelligence with Gesture recognition in his study.
His Motion and Visual motion study in the realm of Computer vision connects with subjects such as Process and Quadrilateral.
His Optics study also includes
- Smooth pursuit that connect with fields like Mathematical analysis, Tracking, Saccadic masking, Cardinal direction and Superposition principle,
- Gaze that intertwine with fields like Angular velocity,
- Ranging which is related to area like Anisotropy and Normal.
His research integrates issues of Degrees of freedom, Signal and Perception in his study of Communication.
His studies deal with areas such as Horizontal plane, Geometry, Curvature and Ellipse as well as Haptic perception.
Between 2002 and 2020, his most popular works were:
- Bias and sensitivity in the haptic perception of geometry (77 citations)
- Biological constraints simplify the recognition of hand shapes (58 citations)
- Predicting curvilinear target motion through an occlusion. (50 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Neuroscience
- Geometry
John F. Soechting mainly investigates Artificial intelligence, Haptic technology, Haptic perception, Communication and Computer vision.
John F. Soechting integrates Artificial intelligence and Gesture recognition in his research.
The concepts of his Haptic technology study are interwoven with issues in Ellipse, Geometry, Curvature, Frame of reference and Robotic arm.
His Haptic perception research is multidisciplinary, incorporating perspectives in Motor processes, Kinesthetic learning, Workspace, Robot and Psychophysics.
His studies in Communication integrate themes in fields like Illusion, Neuroscience, Perception and Stereotaxy.
His Computer vision research includes themes of Curvilinear coordinates, Optics and Set.
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