Pencept PenCAD and PenPad 320 sold under Numonics name: recognition macros / gestures, handwriting recognition
[Ooi87]
()
Ooi, K., Hidai, K., Kurosawa, Y., and Nakamura, Y.
"Method and Device for Handwritten Letter Recognition",
United States Patent 4,685,142, August 4, 1987, assigned to Kabushiki Kaisha Toshiba, Kawasaki, Japan.
- Kanji/Japanese recognition using standard strokes, in
a standard stroke order
- Attempt to remove stroke-order properties from Kanji
recognition using a heirarchical dictionary of standard strokes, and matching as you go
[Orita87a]
()
Orita, M., Kobayashi, Y., and Kuboo, Y.
"Tree-structure recognition dictionary preparation system",
United States Patent 4,658,429, April 14, , 1987, assigned to Hitachi, Limited, Tokyo, Japan.
- Order tree nodes in a recognition dictionary of templates, so features with the most power are highest in the tree
[Orita87b]
()
Orita, M., Mishima, T., and Kobayashi, Y.
"System and Method for Preparing a Recognition Dictionary",
United States Patent 4,682,365, July 21, 1987, assigned to Hitachi, Limited, Tokyo, Japan.
- Heirarchical tree-structure for pattern recognition decision
tree: method to minimize search time by organizing tree (for
Kanji recognition)
- Cites prior art (1975) on tree-structured pattern recognition
dictionaries for Kanji/Japanese recognition
[Ovonics88]
(*)
Ovonic Imaging Systems OIS, Inc.
"E-Z image and "OIS Telepad" product literature, 1988.",
1896 Barrett Street, Troy, MI 48084, 313-362-3140.
- EZ-Image is a clear digitizer tablet, resistive sheet: electronic ink with integrated LCD display
- Telepad is an integrated digitizer/display unit
- Uses the term "electronic paper" (similar to "electronic ink")
[Pearson87]
()
Pearson, G. and Weiser, M.
"Exploratory Evaluations of Two Versions of a Foot-Operated Cursor-Positioning Device in a Target-Selection Task",
poster paper, CHI+GI 87 Conference, Boston, Massachusetts, April 1987. Authors' address: Heterogeneous Systems Lab, University of Maryland, College Park, Maryland.
- Foot-operated pointing device, similar to mouse
[PenMouse88a]
(*)
PenMouse Technologies
"Equipment/Device: PenMouse device, ca. 1988",
PenMouse
- Physical device in collection: Roller-ball mouse in a pen-shaped housing, does not report absolute position. Not the same as the IS/PenMouse digitizer tablet from Kurta.
[Phillips87]
()
Phillips, M.
"Several simple tests can help you choose the correct digitizer",
Computer Technology Review, Vol VII No 1, January 1987.
[Platshon88]
()
Platshon, Mark
"Acoustic touch technology adds a new input dimension",
Computer Design, March 15, 1988, pp 89-93.
- Technical description of Elographics digitizer technology, surface acoustic wave (SAW). SAW technology for force/pressure-sensitive "Z" on touch tablet digitizer.
[Pobgee88a]
(*a)
Pobgee, P.J.
"Prototype System for Interactive Input of Cursive Information",
National Physical Laboratory, Teddington (England), Division of Information Technology and Computing, Report No NPL-DITC-125/88, 1988 (abstract only).
- NTIS citation index: refers to pointing and handwriting recognition combined in a GUI application. User interface and editing and graphics manipulation for handwriting recognition.
[Pobgee88b]
()
Pobgee, P.J.
"EPT, a Dynamic Tutorial for Introducing New Users to Electronic Paper",
National Physical Laboratory, Teddington (England), Division of Information Technology and Computing, Report No NPL-DITC-134/88, 1988 (abstract only).
- NTIS citation index
- Integrated tablet and display with sample handwriting
applications
[Potter88]
()
Potter, R., Weldon, L., and Shneiderman, B.
"Improving the accuracy of touch screens: An experimental evaluation of three strategies",
Proceedings of CHI conference, Washington, D.C., May 15-19, 1988. Published by the Association for Computing Machinery, New York, 1988, pp 27-32.
- Mack89 digitizer user-interface hacks
[Reilly87]
()
Reilly, Douglas, L., Scofield, Christopher, Elbaum, Charles, and Cooper, Leon, N.
"Learning System Architectures Composed of Multiple Learning Modules",
Proceedings of IEEE First Annual International Conference on Neural Networks, June, 1987, Vol II, pp 495-503.
- Training time is shorter if you train one module to each shape class, rather than many modules to share training, in a Nestor neural network.
[Reilly88]
()
Reilly, Douglas L, Scofield, Christopher, Gouin, Philip R., Rimey, Raymond, Collins, Edward A., and Ghosh, Sushmito
"An Application of a Multiple Neural Network Learning System to Industrial Part Inspection",
to be presented at ISA/88, Houston, Texas.
- Nestor recognition paper on industrial vision parts inspection
[Rhyne87]
(*)
Rhyne, J.
"Dialogue Management for Gestural Interfaces",
Computer Graphics, Vol 21 No 2, April 1987, pp 137-142. Also IBM Research Report RC 12244, 1986.
- Temporal grouping/segmentation of written gestures more important than the temporal sequence
[Rympalski87]
(*)
Rympalski, William P., Herstein, James S., Ritenour, Roger L.
"Electronic Sketch Pad",
United States Patent 4,639,720, assigned to Harris Corporation, Melbourne, Florida, January 27, 1987
- Capacitive digitizer integrated with an LCD display: patent on "writing" directly on a display
[Saba87]
(*p)
SABA
"Handscan product literature",
Saba Technologies, Incorporated, 9300 S.W. Gemini Driver, Beaverton, Oregon, 97005, June 1987.
- Produce literature on hand-held OCR input scanner
- Acoustic/sonic 2-D tablet
[SAC87]
()
SAC
"GP-7 Grafbar Mark II Operator's Manual",
Science Accessories Corporation, 1987, 970 King s Highway West, Southport, Connecticut 06490.
[Satoh88]
(*p)
Satoh, Koji, United State States Patent 4,783,835
"Method of Character Recognition",
November 8, 1988, assigned to Sumitomo Electric Industries, Limited, Osaka Japan.
- Typed character recognition in a hand-held scanner using
rightside and left-side profiles/chain codes, in addition to
line features
[Schoonard87]
(*p)
Schoonard, James W.; Gould, John D.; Bieber, Miriam; and Fusca, AAngie
"A Behavior Study of a Computer Hand Print Recognition System",
IBM Research Report RC 12484 (Log #56157) 2/6/87, 1987, IBM T.J. Watson Research Center, PO Box 218, Yorktown Heights, NY 10598.
- Compared human recognition accuracy, both by original writer and by another subject, with IBM's machine recognition
- In adaptive system, adding poorly-formed (atypical) prototypes from handwriting to system is a problem, as accuracy goes down
- In adaptive system, accuracy goes down as prototypes are added beyond a certain point (so why add them? when to add them?)
- Handwriting interaction tested for four tasks: copy, compose, spreadsheet, delayed copy/transcription
- Human recognition accuracy measured as 88.5% to 96.1%, average 93.2%
- Writing speed for hand-printing is 0.99 characters/second
- 90 to 111.2 prototypes in adaptive system for individual subject's handwriting
- Subjects consistently tended to underestimate recognition accuracy of IBM system, because errors in words and inability to correct were so annoying
- 96% recognition accuracy "not good enough" for commercial use of on-line character recognition
[Scott87]
()
Scott, Walter C.
"Signature Verification",
United States Patent 4,701,960, October 20, 1987, assigned to Texas Instruments Incorporated, Dallas, Texas.
- Signature verification using matches at local extrema
points(?) and something like elastic matching
[Sejnowski86]
(*)
Sejnowski, Terrence, J. and Rosenberg, Charles R.
"NETtalk: A Parallel Network that Learns to Read Aloud",
Technical Report JHU/EECS-86/01, John Hopkins University, Baltimore, MD, 1986
- Hinton diagrams; training input consisted of phonetic transcriptiosn of English text, not actual spoken recording.
[Sejnowski87]
(*)
Sejnowski, Terrance and Rosenberg, Charles
"Parallel Networks that Learn to Pronounce English Text",
Complex Systems, 1:145-168, (1987)
- Hinton diagrams; training input consisted of phonetic transcriptiosn of English text, not actual spoken recording.
- Cited by Marlin Eller, Microsoft Pen Computing group
[Sekita88]
()
Sekita, I., Toraichi, K., Mori, R., Yamamoto, K, and Yamada, H
"Feature extraction of hand-written Japanese characters by spline functions for relaxation",
Pattern Recognition, Vol 21 No 1, January 1988, pp 9-17.
- Cited in Yu90: for line thinning with context by chain codes
[Semiotics87]
()
Semiotics Design
"handwriting recognition product outline",
2980 Salem Drive, Santa Clara, California 95051, 1987.
- Carol Anne Ogdin , formerly Mr. Ogdin
- Lists of sentences using all 26 letters of alphabet
in various combinations, for collecting writing samples
- Sample list of sentences using all 26 letters of the alphabet -- source unknown
[Sherr88]
(*)
Sherr, Sol (Ed.)
"Input Devices",
Academic Press Inc., 1988, ISBN 0-12-639970-0
- Chapter 1, "Introduction to Input Devices", Caswell, N.S.
- Chapter 2, "Human Factors Considerations in the Design and Selection of Computer Input Devices", Arnaut, Lynn Y. and Greenstein, Joel S.
- Chapter 3, "Keyboards", Greenstein, Joel S. and Muto, William H.
- Chapter 4, "Digitizer and Input Tablets", Davies, Thomas E., Mathews, H. Gerard, and Smith, Paul D.
- Chapter 5, "Mice", Goy, Carl
- Chapter 6, "Trackballs and Joysticks", Doran, David
- Chapter 7, "Voice Input Systems", Viglione, Sam S.
- See also citations for each chapter. Windows input managers / window management, relevant to Schumer.
[Shojima87]
(*)
Shojima, H., Kuzunuki, J. S., and Hirasawa, K.
"On-line pattern recognition for hand-written shapes",
United States Patent 4,653,107, March 24, 1987, assigned to Hitachi, Limited, Tokyo, Japan.
- Re-order strokes, feature is quantized curvature, try
deleting endsegments or combining sequential strokes
- On-line handwriting recognition using a dictionary of
templates: used in a document preparation user-interface?
[Shojima88]
()
Shojima, H., Mifune, T., Mori, J. and Kuzunuki, S.
"Method and Apparatus for On-line Recognizing Handwritten Patterns",
United States Patent 4,718,103, January 5, 1988, assigned to Hitachi, Limited, Tokyo, Japan.
- Cites DP Matching Process to Character Recognition of
Nikkei Electronics, 1983.
- Angular vector chain code sequences: matching successive
angle differences for line segments in handwriting character
recognition
- Unanticipated/intermittent input/event causes software system
error
[SIGSOFT87a]
()
SIGSOFT
"Anti-Skid Brakes",
quoted from October 1986 issue of Road and Track, A.C.M. SIGSOFT Software Engineering Notes, Vol 12 No 1, page 10, January, 1987.
- Unanticipated/intermittent input/event causes software system
error
[SIGSOFT87b]
()
SIGSOFT
"Cause of the Mysterious Bay Area Rapid Transit Power Outage Identified",
quoted from July 8, 1987 San Francisco Chronicle, A.C.M. SIGSOFT Software Engineering Notes, Vol 12 No 4, page 4, January, 1987.
- Unanticipated/intermittent input/event causes software system
error
[SIGSOFT87c]
()
SIGSOFT
"Actual Stock Price Fails Sanity Check",
contributed by Mark Brader, A.C.M. SIGSOFT Software Engineering Notes, Vol 12 No 4, page 4, October 1987.
- Unanticipated/intermittent input/event causes software system
error
[SIGSOFT87]
()
SIGSOFT
"BBC Documentary Filming Causes Library of Congress Computer Crashes",
contributed by Howard C. Berkowitz, A.C.M. SIGSOFT Software Engineering Notes, Vol 12 No 4, page 15, October 1987.
- Unanticipated/intermittent user input/event causes software
system error
[SIGSOFT88]
()
SIGSOFT
"Runaway mouse problem in popular commercial WP program",
contributed by Steven Jones, A.C.M. SIGSOFT Software Engineering Notes, Vol 13 No 4, page 9, October 1988.
[Sinha88]
(*p)
Sinha, R.M.K. and Prasada, B.
"Visual Text Recognition Through Contextual Processing",
Pattern Recognition, Vol 21 No 5, 1988, pp 463-479.
- Spelling context dictionary where words outside the dictionary
are handled with a Viterbi algorithm
- A priori context (i.e. statistical values for letter
pair digrams) vs a posteriori context (checking results against
a spelling dictionary)
- Contains quick overview of everybody's work on spelling
or statistical probability context correction
- Transient dictionary for context: words not in regular
- Uses weighted confusion matrix of touching/rejected characters
for context correction (segmentation)
- Refers to ambiguous upper/lower-case confusion pairs,
other than the obvious
- In OCR, attempt to fix touching characters by a separate
segmentation algorithm on rejected characters
common "omitted" words can be used to correct the rest
dictionary may occur frequently in document, so most
[Sklarew88a]
()
Sklarew, Ralph
"Handwritten keyboard-less entry computer system",
United States Patent 4,732,621, assigned to Linus Technologies, 1988.
- Patent on transparent digitizer over display for handwriting
input, with character recognition
[Sklarew88b]
()
Sklarew, Ralph, European Patent 254561
"Handwritten keyboard-less entry computer system",
Janrary 27, 1988, assigned to Linus Technologies, inc.
- Broad patent on Linus' keyboardless computer product,
using handwriting recognition
- Gives many example screens for Linus/Grid's user
interface, showing pop-up windows/rectangles
for handwriting entry
- Gives figures for handwriting digitizer tablet performance: 0.015"/0.005", 150 points/second
- Linus/Grid user-interface on editing functions/symbols,
appear similar to gesture-based user interface
[Skylight88]
(*p)
Skylight Software, Incorporated
"Handprints 2.0 product information",
323 Andover Street, Wilmington, Massachusetts 01887.
- Yuri Litvin's small on-line handwriting recognition software product: runs in 13Kbytes (!)
[SmithRW87]
()
Smith, R.W.
"Computer processing of line images: A survey",
Pattern Recognition, Vol 20, 1987, pp 7-15.
[SpeechSystems87]
(*p)
Speech Systems, Incorporated
"Phonetic Engine (R) product description",
18356 Oxnard Street, Tarzana, California 91356, 1987.
- Product literature on phonetic speech recognition system with large dictionary
- Phonetic Decoder (TM), Phonetic Profiler (TM), DS100 application development system,
[Srihari87a]
(*)
Srihari, Sagur N. and Hull, Jonathan J.
"System to Achieve Automatic Recognition of Linguistic Strings",
United States Patent 4,654,875, assigned to Research Foundation of State University of New York, Albany, N.Y., March 31, 1987
-
Automatic language (actually, character) recognition by converting words to bit strings, and comparing resulting strings to the best match of similar bit strings: stated as applicable to OCR
[Srihari87b]
.
Srihari, Sagur N. and Bozinovic, Radmilo M.
"A Multi-Level Perception Approach to Reading Cursive Script",
Artificial Intelligence, Vol. 33 No 2, p. 217-255, 1987
[Stoll88]
.
Stoll, Clifford
"The Cuckoo's Egg: Tracking a Spy Through the Maze of Computer Espionage",
Pocket Books, ISBM 0743411463
- Discrepency of 75 cents in a billing program for internet usage led SysAdmin to first public uncovering of an attacker/hacker group
is fraudulent
[Suen88]
()
Suen, C.Y. (chair)
"Future Challenges in Handwriting and Computer Applications",
panel discussion, 3rd International Symposium on Handwriting and Computer Applications, Montreal, May 29, 1987. Panelists: R. Plamondon, C. Tappert, A.J.W.M. Thomassen, J.R. Ward, K. Yamamoto. Summary published January 18, 1988, Prof. Ching Y Suen, Concordia University, Montreal, Canada.
- Comments included why most handwriting character recognition accuracy reports are "inaccurate"
[Summagraphics87]
()
Summagraphics
"Digitizer technology paves the way for portable systems",
Computer Design, April 1, 1987, page 9.
- Summagraphics' low-cost charge-ratio digitizer tablet
[Tamura88]
()
Tamura, S. and Kawasaki, S.
"Recognition of Sign Language Motion Images",
Pattern Recognition, Vol 21 No 4, 1988, pp 343-353.
- Cheremes - like phonemes or graphemes, but for (hand)
sign language, like American Standard sign language
[Tanner87]
()
Tanner, P.P.
"Multi-Thread Input",
Computer Graphics, Vol 21 No 2, April 1987, pp 142-145.
- User interface discussion of having multiple input devices / multiple streams of input: relates to problem of handwriting combining both position AND command/text input, as in gesture recognition?
[Tappert87]
(*)
Tapper, C.C., Suen, C.Y., Wakahara, T.
"Research Report: On-Line Handwriting Recognition - a Survey",
Research Report RC 14045 (#59748) 12/8/87, IBM Research Division, T.J. Watson Research Center, Yorktown Heights, New York
- Report on state-of-the-art in handwriting recognition, pen-computing, gestures, curve-matching, elastic matching, etc. as of about 1986
- Compare with 1990 publication: Tappert90c
[Tappert88a]
()
Tappert, Charles C.
"Recognition System for Run-on Handwritten Characters",
United States Patent 4,731,857, March 15, 1988, assigned to International Business Machines Corporation, Armonk, New York.
- Character stroke segmentation/parsing using an iterative
approach to find the best aggregate recognition score for the
whole line, or for whole word
- Recognition method for run-on handwriting repeating receiving,
examining and gradings steps until all strokes have been processed
and recognized
[Tappert88b]
()
Tappert, C.C.
"A Divide-and-Conquer Cursive Script Recognizer",
IBM Res. Rep. RC14070, Oct. 1988.
- Cited by Marlin Eller, Microsoft Pen Computing group
[TransImage87]
()
TransImage Corporation
"Transimage 1000",
hand-held OCR data-entry system for IBM PC XT/AT product announcement, 910 Benicia Avenue, Sunnyvale, California 94086, 1987.
[Tsuda88]
()
Tsuda, I., Shimizu, H., and Hibino, K.
"Method and Apparatus of Recognition",
United States Patent 4,760,603, July 26, 1988, assigned to Research Development Corporation of Japan, Tokyo, Japan.
- Strange patent on recognition by looking at oscillation
frequencies of hypothetical components streatched between segments
of the outline image
[Tsugei87]
(*p)
Tsugei, Shinji and Iguchi, Shigeki
"Handwritten Character Input Device",
United States Patent 4,656,317, April 7, 1987, assigned to Sharp Kabushiki Kaisha, Osaka, Japan.
- Handwriting recognition for processing billing receipts
on-line: patent on any kind of forms input?
[Viglione88]
.
Viglione, Sam S.
"Voice input systems",
Computer graphics: technology and applications, Academic Press, Boston, 1988 ISBN 0126399700
- Cited in LCS/Telegraphics case vs. Schumer for input devices like virtual tablets
[Wada87]
()
Wada, Y., Kobayashi, Y., and Mitsuta, T., European Patent 218246
"Graphic data design method",
April 15, 1984, assigned to Hitachi, Limited, Tokyo, Japan.
- User interface patent on design rule checking (?) drawing constraints on CAD input (?)
[WangA87]
()
Wang, A., Ho S., and Mainemer, C.I.
"Writing Pad",
United States Patent 4,638,118, January 20, 1987, assigned to Wang Laboratories, Inc., Lowell, Massachusetts.
- Dr. An Wang's digitizer: force/pressure-sensitive digitizer using very thin contact lines, as for LCD's
- Force/pressure-sensitive digitizer using coarse, then fine position sensing of X/Y grid
[WangPSP88]
()
Wang, P.S.P.
"Knowledge Pattern Representation of Chinese Characters",
International Journal of Pattern Recognition and Artificial Intelligence, Vol 2 No 1, 1988, pp 161-179.
- Not really about a Chinese/Kanji recognition system, but that Chinese characters are complicated (lots of strokes) because they are like English words (lots of strokes from lots of characters)
[Ward87a]
()
Ward, J.
"Design Criteria for and Electronic Tablet Technology with Acceptable Performance for Handwriting Capture and Analysis",
Proceedings of the Third International Symposium on Handwriting and Computer Applications, Montreal, Canada, July 20-23, 1987, pp 178-180.
[Ward87b]
()
Ward, J.
"Issues in the validity of testing protocols and criteria for on-line recognition of handwritten text",
Proceedings of the Third International Symposium on Handwriting and Computer Applications, Montreal, Canada, July 20-23, 1987, pp 67-70.
[Ward87c]
(*p)
Ward, J. and Phillips, M.
"Digitizer Technology: Performance Characteristics and the Effects on the User Interface",
IEEE Computer Graphics and Applications, April 1987, pp 31-44.
[Ward87d]
(*)
Ward, J. (organizer): Sibert John (Moderator): Buffa, Michael G., Crane, Hewitt D., Doster, Wolfgang, and Rhyne, James
"Issues Limiting the Acceptance of User Interfaces Using Gesture Input and Handwriting Character Recognition",
panel discussion, Proceedings of CHI+GI Conference on Human Factors in Computing Systems and Graphics Interface, Toronto, April 5-9, 1987, pp 155-158.
- Much work on handwriting character recognition is very over-stated
- Participants from Nestor, SRI International, CIC, AEG Research Institute, IBM Thomas J. Watson Research Center, Pencept
[Ward87e]
()
Ward, J.
"Combinatorial Aspects of Variability in Handprinted Text",
Proceedings of the Third International Symposium on Handwriting and Computer Applications, Montreal, Canada, July 20-23, 1987, pp 60-63.
[Ward88]
(*p)
Ward, J. and Kuklinski, T.
"A Model for Variability Effects in Hand-printing, with Implications for the Design of On-line Character Recognition Systems",
IEEE Transactions on Systems, Man, and Cybernetics, Vol 18 No 3, May 1988, pp 438-450.
- Generative model for shape variations in handprinted and handwritten characters, based on stroke order, angle, hooks, retracing, and a modification of chain codes using local extrema, for on-line handwriting character recognition
[Welbourn88]
.
Welbourn, L.K. and Whitrow, R.J.
"A gesture based text editor",
Proceedings of the British Computer Society, pp 363-371, Cambridge University Press, 1988
[Whitrow87]
()
Whitrow, R. and Higgins, C.
"The Application of n-grams for Script Recognition",
Proceedings of the 3rd Symposium on Handwriting and Computer Applications. Montreal, Canada, 1987
- Cited by Marlin Eller, Microsoft Pen Computing group
[Williford88]
(*p)
Williford, John D.
"Automatic Reference Adaptation During Dynamic Signature Verification",
United States Patent 4,724,542, February 9, 1988, assigned to International Business Machines Corporation, Armonk, New York.
- Continuous adaptive signature verification recognition: samples are updated automatically over time
[Wolf87a]
(*)
Wolf, Catherine G. and Morrel-Samuels, Palmer
"The Use of Hand-drawn Gestures for Text-editing",
International Journal of Man-Machine Studies, Vol 27 No 1, July 1987, pp 91-102, also available as IBM Report RC 12523.
- Paper and pencil study of gesture user-interface for editing (proofreader's marks) for user consistency, choice of symbols
[Wolf87b]
(*p)
Wolf, Cathy G.
"A comparative Evaluation of Gesture and Conventional Interfaces",
IBM Research Division Human Factors research report RC13187 (#58999), October 9, 1987.
- Cited in Blatt88: on gesture user interface, single stroke gesture for spreadsheets, with text and pointing recognition
[Wolf88]
()
Wolf, Catherine G.
"A Comparative Study of Gestural and Keyboard Interfaces",
Proceedings of the Human Factors Society 32nd Annual Meeting, 1988, pp 273-276.
- Gesture user interface on spreadsheets: 72% faster than keyboard alone, preferred by users, using electronic ink integrated tablet/display: shows "preferred" gesture symbols
[Yamakawa87]
(*)
Yamakawa, Tadashi
"Character and Figure Processing Apparatus",
United States Patent 4,672,677, June 9, 1987, assigned to Canon Kabushiki Kaisha, Tokyo, Japan.
- User-interface combination of handwriting recognition, and simulated touch-button areas on tablet for Chinese/Kanji word processing
- Discloses showing a menu of multiple candidate character to select from when the on-line recognizer for handwritten character isn't sure.
[Yoshida88]
(*p)
Yoshida, K., Shimizu, H., and Watari, Massao
"Continuous Characters Recognition System",
United States Patent 4,764,972, August 16, 1988, assigned to NEC Corporation, Tokyo, Japan.
- On-line character recognition using inter-stroke handwriting strokes
- Refers to changes in separate handwritten character variations depending on inter-stroke motion (hooks, continuation marks, etc.)
- Refers to partially-connected (script-like) writing as continuous writing (don't stop between characters)
[Zimmerman87]
(*)
Zimmerman, T.G., et al
"A hand gesture interface device",
Proceedings of the ACM CHI + GI '87 Conference on Human Factors in Computing Systems and Graphics Interface, Toronto, Canada, April 5-9, 1987. Association for Computing Machinery, New York, 1987, pp 189-196.
- Cited in Nielsen90
- Z-glove, Date-Glove, Data-Glove using ultrasonic/acoustic position sensors for three-dimensional digitizing
Main Reference Page
