The control of avatar motion using hand gesture

Lee, ChanSu; Ghyme, Sang-Won; Park, Chanjong; Wohn, Kwangyun

doi:10.1145/293701.293709

Cited by 30 publications

(11 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nevertheless, this model is more complicated in training the hand gesture equated with Cascade classifiers. Lee et al [14] developed a Virtual Office Environment System (VOES), in which avatar is used navigate and interact with other participants.…”

Section: State Of Artmentioning

confidence: 99%

Real Time Hand Gesture Recognition System for Dynamic Applications

Rautaray¹

2012

IJU

View full text Add to dashboard Cite

show abstract

Section: State Of Artmentioning

confidence: 99%

Real Time Hand Gesture Recognition System for Dynamic Applications

Rautaray¹

2012

IJU

View full text Add to dashboard Cite

show abstract

“…Conci et al [1] designs an interactive virtual blackboard by using video processing and gesture recognition engine for giving commands, writing and manipulating objects on a projected visual interface. Lee et al [10] developed a Virtual Office Environment System (VOES), in which avatar is used navigate and interact with other participants. For controlling the avatar motion in the system a continuous hand gesture system is designed which uses state automata to segment continuous hand gesture and to remove meaningless motion.…”

Section: State Of Artmentioning

confidence: 99%

Human Computer Interaction with Hand Gestures in Virtual Environment

Rautaray

Kumar

Agrawal

2012

Perception and Machine Intelligence

View full text Add to dashboard Cite

Abstract. With the ever increasing and flourishing phenomena of growth in virtual environments based upon computer systems; demands for new kind of interaction devices have emerged. The present used devices like keyboard, mouse and pen are cumbrousome within these promising applications. The developments of user interfaces influence the changes in the Human-Computer Interaction (HCI). This paper focuses to design an application using computer vision and gesture recognition techniques which develop a relatively economic input device of interacting with virtual games using hand gestures. The architecture of the gesture recognition system comprises of different image processing techniques like camshift, and Lucas Kanade technique for tracking of hands and its gestures. Haar like features locates the position of the hand and recognizes the gesture being made by such located hand image. The modeling of gestures has been done for recognition through matching the feature of defects present in the hand with the assigned gestures. The virtual game is created using Open GL library. The application uses seven gestures for manipulating the virtual game. This main connotation of this hand gesture recognition system is providing a substitute for input devices while making interaction during the virtual games. Hence instead of making effort to develop a new vocabulary of hand gesture we have matched control instruction set of mouse to subset of most discriminating hand gestures, so that we get a robust interface.

show abstract

“…Researchers have explored a wide variety of devices and techniques for avatar control, including using the mouse [15], keyboard [21], gamepad [24], data glove [8], head and hand tracker [2], eye tracker [4,22], hand gestures [14], full body actions [20], and brain activities [16,23]. Some of these control methods are intended for immersive virtual environments with head-mounted displays; we limit our scope to desktop CVEs, where users look at the virtual world through a computer monitor.…”

Section: Controlling Avatars In Desktop Cvesmentioning

confidence: 99%

Controlling an avatar's pointing gestures in desktop collaborative virtual environments

Wong

Gutwin

2012

Proceedings of the 17th ACM International Conference on Supporting Group Work

View full text Add to dashboard Cite

Collaborative Virtual Environments (CVEs) allow people to interact with each other in virtual worlds through computergenerated avatars. Avatars are much less expressive than real bodies, and one main limitation is their lack of support for nonverbal communication such as pointing gestures. Part of the problem is that these gestures must be created through an input device, but the user is already busy controlling the avatar's location, rotation, and view direction. Pointing gestures are only useful for collaborative communication if they can be controlled simultaneously with all other avatar actions. To determine whether there are input configurations that make pointing gestures feasible, we carried out a study that compared five different widely-available input devices in three non-verbal communication tasks. We found that users were able to successfully incorporate pointing gestures into tasks that already involved moving, turning, and looking, but that there were significant and substantial differences between devices. Two configurations performed best: a mode-switched version of standard mouse-and-keyboard control, and a direct-pointing scheme using a Wii remote. There were also minor effects of gender and video-game experience. Our study suggests that users will be able to successfully create free pointing gestures in CVEs, greatly improving the communicative richness of these environments.

show abstract

The control of avatar motion using hand gesture

Cited by 30 publications

References 7 publications

Real Time Hand Gesture Recognition System for Dynamic Applications

Real Time Hand Gesture Recognition System for Dynamic Applications

Human Computer Interaction with Hand Gestures in Virtual Environment

Controlling an avatar's pointing gestures in desktop collaborative virtual environments

Contact Info

Product

Resources

About