Squeeze me, hold me, tilt me! An exploration of manipulative user interfaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Gestural and audio metaphors as a means of control for mobile devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ISWC '99 Proceedings of the 3rd IEEE International Symposium on Wearable Computers
Silhouette-Based Human Identification from Body Shape and Gait
FGR '02 Proceedings of the Fifth IEEE International Conference on Automatic Face and Gesture Recognition
Think globally, fit locally: unsupervised learning of low dimensional manifolds
The Journal of Machine Learning Research
Self-contained Spatial Input Device for Wearable Computers
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
A gesture-based authentication scheme for untrusted public terminals
Proceedings of the 17th annual ACM symposium on User interface software and technology
Interfacing human and computer with wireless body area sensor networks: the WiMoCA solution
Multimedia Tools and Applications
Guidelines for designing graphical authentication mechanism interfaces
International Journal of Information and Computer Security
User evaluation of lightweight user authentication with a single tri-axis accelerometer
Proceedings of the 11th International Conference on Human-Computer Interaction with Mobile Devices and Services
uWave: Accelerometer-based personalized gesture recognition and its applications
Pervasive and Mobile Computing
Analysis of pattern recognition techniques for in-air signature biometrics
Pattern Recognition
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Nomadic gestures: A technique for reusing gesture commands for frequent ambient interactions
Journal of Ambient Intelligence and Smart Environments
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This work investigates the feasibility of a personal verification system using gestures as biometric signatures. Gestures are captured by low-power, low-cost tri-axial accelerometers integrated into an expansion pack for palmtop computers. The objective of our study is to understand whether the mobile system can recognize its owner by how she/he performs a particular gesture, acting as a gesture signature. The signature can be used for obtaining access to the mobile device, but the handheld device can also act as an intelligent key to provide access to services in an ambient intelligence scenario. Sample gestures are analyzed and classified using supervised and unsupervised dimensionality reduction techniques. Results on a set of benchmark gestures performed by several individuals are encouraging.