| 1. |
- Tollmar, Konrad, et al.
(författare)
-
Navigating in virtual environments using a vision-based interface
- 2004
-
Ingår i: Proceedings of the third Nordic conference on Human-computer interaction. - New York, NY, USA : ACM. - 1581138571 - 9781581138573 ; , s. 113-120
-
Konferensbidrag (refereegranskat)abstract
- Interacting and navigating virtual environments usually requires a wired interface, game console, or keyboard. The advent of perceptual interface techniques allows a new option: the passive and untethered sensing of users’ pose and gesture to allow them to maneuver through and manipulate virtual worlds. We describe new algorithms for interacting with 3-D environments using real-time articulated body tracking with standard cameras and personal computers. Our method is based on rigid stereo-motion estimation algorithms and can accurately track upper body pose in real-time. With our tracking system users can navigate virtual environments using 3-D gesture and body poses. We analyze the space of possible perceptual interface abstractions for full-body navigation, and present a prototype system based on these results. We finally describe an initial evaluation of our prototype system with users guiding avatars through a series of 3-D virtual game worlds.
|
|
| 2. |
- Wang, Sy Bor, et al.
(författare)
-
Multimodal communication error detection for driver-car interaction
- 2007
-
Ingår i: ICINCO 2007: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS, VOL RA-1: ROBOTICS AND AUTOMATION, VOL 1. ; , s. 365-371
-
Konferensbidrag (populärvet., debatt m.m.)abstract
- Speech recognition systems are now used in a wide variety of domains. They have recently been introduced incars for hand-free control of radio, cell-phone and navigation applications. However, due to the ambient noisein the car recognition errors are relatively frequent. This paper tackles the problem of detecting when suchrecognition errors occur from the driver’s reaction. Automatic detection of communication errors in dialoguebasedsystems has been explored extensively in the speech community. The detection is most often based onprosody cues such as intensity and pitch. However, recent perceptual studies indicate that the detection can beimproved significantly if both acoustic and visual modalities are taken into account. To this end, we present aframework for automatic audio-visual detection of communication errors.
|
|
