Multi-touch haptic gesture recognition from examples
Date of Publication
2010
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Computer Science
College
College of Computer Studies
Department/Unit
Computer Science
Thesis Adviser
Solomon See
Defense Panel Member
Raymund C. Sison
Karlo Shane O. Campos
Abstract/Summary
Gestural interaction has been identified as an important component of modern multimodal interfaces because a collection of simple 2D gestures can represent myriads of various actions. Developers at present are required to manually code haptic gesture recognition into their touch screen applications, making development harder since they have to consider various factors like finger offsets, incidence angles, etc. To save developers time and effort in application development, there is a need for building and making available a gesture library. Thus, the proponents developed a toolkit that recognizes gestures from examples and integrate trained gestures into touch screen applications for handheld devices.
Abstract Format
html
Language
English
Format
Accession Number
TU19867
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
1 v. (various folitations) : illustrations (some colored) ; 28 cm. + one computer optical disc.
Recommended Citation
Chua, A. C., Chua, N. S., Tinay, D. P., & Ureta, D. Y. (2010). Multi-touch haptic gesture recognition from examples. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/12142
