Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Sensing techniques for mobile interaction
UIST '00 Proceedings of the 13th annual ACM symposium on User interface software and technology
SmartSkin: an infrastructure for freehand manipulation on interactive surfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Ambient touch: designing tactile interfaces for handheld devices
Proceedings of the 15th annual ACM symposium on User interface software and technology
One-class svms for document classification
The Journal of Machine Learning Research
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
DiamondSpin: an extensible toolkit for around-the-table interaction
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
A novel support vector classifier with better rejection performance
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
The bar of soap: a grasp recognition system implemented in a multi-functional handheld device
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Graspables: grasp-recognition as a user interface
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
FlyEye: grasp-sensitive surfaces using optical fiber
Proceedings of the fourth international conference on Tangible, embedded, and embodied interaction
Grasp sensing for human-computer interaction
Proceedings of the fifth international conference on Tangible, embedded, and embodied interaction
Sensor synaesthesia: touch in motion, and motion in touch
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Grips and gestures on a multi-touch pen
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Rope Revolution: tangible and gestural rope interface for collaborative play
Proceedings of the 8th International Conference on Advances in Computer Entertainment Technology
Enhancing naturalness of pen-and-tablet drawing through context sensing
Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces
PinchPad: performance of touch-based gestures while grasping devices
Proceedings of the Sixth International Conference on Tangible, Embedded and Embodied Interaction
An exploration of inadvertent variations in mobile pressure input
MobileHCI '12 Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services
FlexAura: a flexible near-surface range sensor
Proceedings of the 25th annual ACM symposium on User interface software and technology
GripSense: using built-in sensors to detect hand posture and pressure on commodity mobile phones
Proceedings of the 25th annual ACM symposium on User interface software and technology
iRotate grasp: automatic screen rotation based on grasp of mobile devices
Adjunct proceedings of the 25th annual ACM symposium on User interface software and technology
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia
iGrasp: grasp-based adaptive keyboard for mobile devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
IrotateGrasp: automatic screen rotation based on grasp of mobile devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Touch & activate: adding interactivity to existing objects using active acoustic sensing
Proceedings of the 26th annual ACM symposium on User interface software and technology
Exploring back-of-device interaction
Proceedings of the adjunct publication of the 26th annual ACM symposium on User interface software and technology
Motion and context sensing techniques for pen computing
Proceedings of Graphics Interface 2013
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This paper presents a novel user interface for handheld mobile devices by recognizing hand grip patterns. Particularly, we consider the scenario where the device is provided with an array of capacitive touch sensors underneath the exterior cover. In order to provide the users with intuitive and natural manipulation experience, we use pattern recognition techniques for identifying the users' band grips from the touch sensors. Preliminary user studies suggest that filtering out unintended user hand grip is one of the most important issues to be resolved. We discuss the details of the prototype implementation, as well as engineering challenges for practical deployment.