Specifying gestures by example
Proceedings of the 18th annual conference on Computer graphics and interactive techniques
Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes
Proceedings of the 20th annual ACM symposium on User interface software and technology
Tactile Graphics Revised: The Novel BrailleDis 9000 Pin-Matrix Device with Multitouch Input
ICCHP '08 Proceedings of the 11th international conference on Computers Helping People with Special Needs
User-defined gestures for surface computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communicating through gestures without visual feedback
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
UAHCI '09 Proceedings of the 5th International on ConferenceUniversal Access in Human-Computer Interaction. Part II: Intelligent and Ubiquitous Interaction Environments
ICCHP keynote: designing haptic interaction for a collaborative world
ICCHP'10 Proceedings of the 12th international conference on Computers helping people with special needs
Template based classification of multi-touch gestures
Pattern Recognition
Understanding the consistency of users' pen and finger stroke gesture articulation
Proceedings of Graphics Interface 2013
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Recent progress in the area of touch sensitive hardware has accelerated a trend of rethinking classical user interfaces. Applications controlled by gestures have become of special interest. System defined gestures however may prove not to be as intuitive and flexible as prefered by eager users. A same amount of flexibility would be handy for offering special input methods appropriate to users' options and skills. The presented work shows an alternative to system defined gestures even for multitouch input. Extended by a few feature comparisons, existing single touch classifiers are enhanced to support a much wider range of input. The main goal is to provide an easy to use and implement concept of multitouch recognition. Along with the algorithmic design testing results on the classifiers performance and proposals for applications are given.