BROWSE
Detail
Journal Article
Multi-Modal User Interaction Method Based on Gaze Tracking and Gesture Recognition
Cited 15 time in 
Download 2 time
Share 
Download 2 time
Share
- Authors
- Heekyung Lee, Seong Yong Lim, Injae Lee, Jihun Cha, Dong-Chan Cho, Sunyoung Cho
- Issue Date
- 2013-02
- Citation
- Signal Processing : Image Communication, v.28, no.2, pp.114-126
- ISSN
- 0923-5965
- Publisher
- Elsevier
- Language
- English
- Type
- Journal Article
- Project Code
- 12PR4200, Development of Interactive View Control Technologies for IPTV, Cha Jihun
- Abstract
- This paper presents a gaze tracking technology which provides a convenient human-centric interface for multimedia consumption without any wearable device. It enables a user to interact with various multimedia on a large display in distance by tracking user movement and acquiring high resolution eye images. This paper also presents a gesture recognition technology which is helpful to interact with scene descriptions in terms of controlling and rendering scene objects. It is based on Hidden Markov Model and CRF using a commercial depth sensor. And then, this paper shows a collaboration method with those new sensors and MPEG standards in order to achieve interoperability among interactive applications, new user interaction devices and users. © 2012 Elsevier B.V. All rights reserved.
- KSP Keywords
- Depth sensor, High-resolution, Interaction devices, Multi-modal User Interaction, Tracking technology, Wearable device, gaze tracking, gesture recognition technology, hidden Markov Model, human-centric, interactive applications