Maximum likelihood estimation for multivariate mixture observations of Markov chins
IEEE Transactions on Information Theory
Vector quantization and signal compression
Vector quantization and signal compression
XWand: UI for intelligent spaces
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
SoapBox: A Platform for Ubiquitous Computing Research and Applications
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Velocity Profile Based Recognition of Dynamic Gestures with Discrete Hidden Markov Models
Proceedings of the International Gesture Workshop on Gesture and Sign Language in Human-Computer Interaction
GestureWrist and GesturePad: Unobtrusive Wearable Interaction Devices
ISWC '01 Proceedings of the 5th IEEE International Symposium on Wearable Computers
Enabling fast and effortless customisation in accelerometer based gesture interaction
Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia
Context management for end user development of context-aware applications
Proceedings of the 6th international conference on Mobile data management
Accelerometer-based gesture control for a design environment
Personal and Ubiquitous Computing
Visualization of hand gestures for pervasive computing environments
Proceedings of the working conference on Advanced visual interfaces
Scan and tilt: towards natural interaction for mobile museum guides
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
Authoring pervasive multimodal user interfaces
International Journal of Web Engineering and Technology
Using smart cards for secure and device independent user interfaces
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
Incorporating tilt-based interaction in multimodal user interfaces for mobile devices
TAMODIA'06 Proceedings of the 5th international conference on Task models and diagrams for users interface design
Improving performance of multimedia data downstream with PDA in an infrastructure network
Journal of Mobile Multimedia
A novel approach for improving the quality of service for wireless video transcoding
Journal of Mobile Multimedia
PERVASIVE'06 Proceedings of the 4th international conference on Pervasive Computing
Hi-index | 0.00 |
Accelerometer-based gesture control is proposed as a complementary interaction modality for small handheld devices to enable a variety of multimedia applications. The motivation for experimenting with gesture interaction is justified by the personal and public domain prototype applications developed. The challenges related to developing user-dependent and independent gesture control are presented. In this article, we experiment with methods for user-dependent gesture recognition with a low number of training repetitions, and for feasible user-independent gesture recognition from a moderately large set of gestures. The user-dependent gesture recognition performance of the continuous Hidden Markov Model (HMM) is better when compared to discrete HMM with three gesture repetitions in a training set. With continuous HMM, a recognition accuracy level of 95% is obtained with or without tilt normalization, while for discrete HMM a best recognition accuracy of 90% is obtained. The user-independent gesture recognition performance with continuous HMM of 89% is considerably better compared to tests with discrete HMM, when both are obtained with cross-validation from 2,520 gestures. An important result is that the effect of using tilt normalization notably increases the user-independent gesture recognition performance by 10- 15% depending on the method used. The chosen methods show great potential for gesture-based interaction in multimedia applications.