Specifying gestures by example
Published 1 July 1991
Dean Rubine
Citations776
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
GRANDMA, a toolkit for rapidly adding gestures to direct manipulation interfaces, and the trainable single-stroke gesture recognizer used by GRANDMA are described.
Abstract
Gesture-Based interfaces offer an alternative to traditional keyboard, menu, and direct manipulation interfaces. The ability to specify objects, an operation, and additional parameters with a single intuitive gesture appeals to both novice and experienced users. Unfortunately, gesture-based interfaces have not been extensively researched, partly because they are difficult to create. This paper describes GRANDMA, a toolkit for rapidly adding gestures to direct manipulation interfaces. The trainable single-stroke gesture recognizer used by GRANDMA is also described.
Keywords
Computer ScienceNeuroscience
Pattern classification and scene analysis
12,643 Citations1973Richard O. Duda, Peter E. Hart
LeonardoPrinciples of Interactive Computer Graphics
1,572 Citations1975Dick Land, William M. Newman +1 more
The principles of interactive computer graphics are applied to computer graphics practice and show the importance of user interaction in the development of computer graphics algorithms.
Object-oriented programming ; an evolutionary approach
963 Citations1986Brad Cox, Andrew J. Novobilski
The author describes the development of an object-oriented C language compiler, and how it can be put to work.
ComputerGarnet: comprehensive support for graphical, highly interactive user interfaces
470 Citations1990Brad A. Myers, Dario A. Giuse +6 more
The Garnet research project, which is creating a set of tools to aid the design and implementation of highly interactive, graphical, direct-manipulation user interfaces, is discussed.
ACM SIGCHI BulletinA hand gesture interface device
391 Citations1986Thomas G. Zimmerman, Jaron Lanier +3 more
Proceedings of the IEEEAutomatic recognition of handprinted characters—The state of the art
290 Citations1980Ching Y. Suen, Marc-Antoine Berthod +1 more
Recognition algorithms, data bases, character models, and handprint standards are examined and Achievements in the recognition of handprinted numerals, alphanumerics, Fortran, and Katakana characters are analyzed and compared.
A hand gesture interface device
218 Citations1986Thomas G. Zimmerman, Jaron Lanier +3 more
Applications of the glove and its component technologies include its use in conjunction with a host computer which drives a real-time 3-dimensional model of the hand allowing the glove wearer to manipulate computer-generated objects as if they were real, interpretation of finger-spelling, evaluation of hand impairment in addition to providing an interface to a visual programming language.
Elsevier eBooksCHUNKING AND PHRASING AND THE DESIGN OF HUMAN-COMPUTER DIALOGUES
198 Citations1995William J. Buxton
The thesis presented is that muscular tension and motion can be used to phrase human-computer dialogues to reinforce the chunking of low-level tasks that correspond to the higher-level primitives of the mental model that is being established.
ACM SIGCHI BulletinA multi-touch three dimensional touch-sensitive tablet
159 Citations1985Sang‐Kyou Lee, William Buxton +1 more
Pattern RecognitionDesign of a neural network character recognizer for a touch terminal
158 Citations1991Isabelle Guyon, Pedro Albrecht +3 more
A system which can recognize digits and uppercase letters handprinted on a touch terminal is described, analogous to “time delay neural networks” previously applied to speech recognition.
The automatic recognition of gestures
96 Citations1992Dean Rubine
This dissertation presents work that attempts to alleviate two of the major difficulties: the construction of gesture classifiers and the integration of gestures into direct-manipulation interfaces.
A multi-touch three dimensional touch-sensitive tablet
84 Citations1985Sang‐Kyou Lee, William Buxton +1 more
How multi-touch sensing, interpolation, and degree of contact sensing can be combined to expand the vocabulary in human-computer interaction is discussed.
Integrating gesture and snapping into a user interface toolkit
84 Citations1990Tyson R. Henry, Scott E. Hudson +1 more
Artkit provides an extensible input model which is designed to support a wider range of interaction techniques than conventional user interface toolkits, and supports the implementation of interaction objects using dragging, snapping, and gesture inputs.
Manipulating simulated objects with real-world gestures using a force and position sensitive screen
65 Citations1984Margaret R. Minsky
A prototype system that recognizes some types of single-finger gestures and uses these gestures to manipulate displayed objects and is used to control actions in a fingerpainting program, an interactive computing system designed for young children, and an interactive digital logic simulation.
Pattern RecognitionA trainable gesture recognizer
57 Citations1991James S. Lipscomb
A gesture input filter and recognizer is built, a novel combination of two traditional techniques; angle filtering and multiscale recognition.
ACM SIGGRAPH Computer GraphicsManipulating simulated objects with real-world gestures using a force and position sensitive screen
40 Citations1984Margaret R. Minsky
ACM SIGCHI BulletinGEdit
35 Citations1991Gordon Kurtenbach, Bill Buxton
GEdit is a prototype graphical editor that permits you to create and manipulate three simple types of objects using shorthand and proof-reader's type gestures, and can be manipulated individually or in groups.
Integrating Gesture Recognition and Direct Manipulation.
11 Citations1991Dean Rubine
How GRANDMA supports the integration of gesture and direct manipulation is described, and an algorithm for creating eager recognizers from example gestures is presented, in which a gesture collection phase is immediately followed by a manipulation phase.