Direct and intuitive input device for 3-D shape deformation
CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Bricks: laying the foundations for graspable user interfaces
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The metaDESK: models and prototypes for tangible user interfaces
Proceedings of the 10th annual ACM symposium on User interface software and technology
Asymptotic behaviors of support vector machines with Gaussian kernel
Neural Computation
I/O brush: drawing with everyday objects as ink
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Emerging frameworks for tangible user interfaces
IBM Systems Journal
Getting a grip on tangible interaction: a framework on physical space and social interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
AudioCubes: a distributed cube tangible interface based on interaction range for sound design
Proceedings of the 2nd international conference on Tangible and embedded interaction
Twend: twisting and bending as new interaction gesture in mobile devices
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Digital foam interaction techniques for 3D modeling
Proceedings of the 2008 ACM symposium on Virtual reality software and technology
Fabric PCBs, electronic sequins, and socket buttons: techniques for e-textile craft
Personal and Ubiquitous Computing
User-defined gestures for surface computing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Making textile sensors from scratch
Proceedings of the fourth international conference on Tangible, embedded, and embodied interaction
The reactable: tangible and tabletop music performance
CHI '10 Extended Abstracts on Human Factors in Computing Systems
Handcrafting textile interfaces from a kit-of-no-parts
Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction
Sensing through structure: designing soft silicone sensors
Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Pinstripe: eyes-free continuous input on interactive clothing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
TactileTape: low-cost touch sensing on curved surfaces
Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology
Detecting shape deformation of soft objects using directional photoreflectivity measurement
Proceedings of the 24th annual ACM symposium on User interface software and technology
Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction
Makey Makey: improvising tangible and nature-based user interfaces
Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction
Touché: enhancing touch interaction on humans, screens, liquids, and everyday objects
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
No sweat, no fun: large-gesture recognition for computer games
Proceedings of the 4th International Conference on Fun and Games
Skweezee studio: turn your own plush toys into interactive squeezable objects
Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction
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The Skweezee System is an easy, flexible and open system for designing and developing squeeze-based, gestural interactions. It consists of Skweezees, which are soft objects, filled with conductive padding, that can be deformed or squeezed by applying pressure. These objects contain a number of electrodes that are dispersed over the shape. The electrodes sense the shape shifting of the conductive filling by measuring the changing resistance between every possible pair of electrodes. In addition, the Skweezee System contains user-friendly software that allows end-users to define and to record their own squeeze gestures. These gestures are distinguished using a Support Vector Machine (SVM) classifier. In this paper we introduce the concept and the underlying technology of the Skweezee System and we demonstrate the robustness of the SVM based classifier via two experimental user studies. The results of these studies demonstrate accuracies of 81% (8 gestures, user-defined) to 97% (3 gestures, user-defined), with an accuracy of 90% for 7 pre-defined gestures.