Greg Christie spends much of his time researching Human–computer interaction, Gesture, Computer vision, Artificial intelligence and Computer graphics. His Mode study in the realm of Human–computer interaction interacts with subjects such as Interface, Set, User input and State. As part of his studies on Mode, Greg Christie often connects relevant areas like Input device.
His studies deal with areas such as Image and Sensory cue as well as Gesture. His study connects Electronic document and Computer graphics. His Computer hardware study integrates concerns from other disciplines, such as Object based and Multi-touch.
His main research concerns Gesture, Human–computer interaction, Artificial intelligence, Computer graphics and Computer vision. His biological study spans a wide range of topics, including Object and Sensory cue. In his research, Voicemail is intimately related to Computer hardware, which falls under the overarching field of Human–computer interaction.
His Artificial intelligence study frequently draws connections to other fields, such as Input device. His work on Image and Cursor is typically connected to State, Push-button and Contact area as part of general Computer vision study, connecting several disciplines of science. While the research belongs to areas of Scrolling, Greg Christie spends his time largely on the problem of Heuristic, intersecting his research to questions surrounding Translation.
The scientist’s investigation covers issues in Gesture, Artificial intelligence, Computer vision, Computer graphics and Human–computer interaction. His research combines Digital object and Artificial intelligence. Specifically, his work in Computer vision is concerned with the study of Thumbnail.
His study looks at the relationship between Computer graphics and fields such as Electronic document, as well as how they intersect with chemical problems. His research on Human–computer interaction frequently connects to adjacent areas such as Instant messaging. His Image research is multidisciplinary, relying on both Record locking and Computer hardware.
His primary areas of study are Measure, Computer hardware, Mechanism, Photodetector and Path. Path overlaps with fields such as Gesture, Computer vision, Artificial intelligence, Sensory cue and Image in his research.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Gestures for touch sensitive input devices
Steve Hotelling;Joshua A. Strickon;Brian Q. Huppi;Imran Chaudhri.
Touch Screen Device, Method, and Graphical User Interface for Determining Commands by Applying Heuristics
Steven P. Jobs;Scott Forstall;Greg Christie;Stephen O. Lemay.
Unlocking a device by performing gestures on an unlock image
Imran Chaudhri;Bas Ording;Freddy Allen Anzures;Marcel van Os.
Proximity detector in handheld device
Steve P. Hotelling;Brian Q. Huppi;Joshua A. Strickon;Duncan Robert Kerr.
Mode-based graphical user interfaces for touch sensitive input devices
Steve Peter Hotelling;Joshua Strickon;Brian Q. Huppi;Duncan Robert Kerr.
Gestures for controlling, manipulating, and editing of media files using touch sensitive devices
Activating virtual keys of a touch-screen virtual keyboard
Bartley K. Andre;Bas Ording;Greg Christie.
Portable electronic device with interface reconfiguration mode
Os Marcel Van;Freddy A. Anzures;Scott Forstall;Greg Christie.
Portable electronic device with multi-touch input
Bas Ording;Scott Forstall;Greg Christie;Stephen O. Lemay.
Graphical user interface and methods of use thereof in a multimedia player
Jeffrey L. Robbin;Steve Jobs;Timothy Wasko;Greg Christie.
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.
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