Vision-Based Game Interface Using Human Gesture
Identifieur interne : 000250 ( Main/Exploration ); précédent : 000249; suivant : 000251Vision-Based Game Interface Using Human Gesture
Auteurs : Hye Sun Park [Corée du Sud] ; Do Joon Jung [Corée du Sud] ; Hang Joon Kim [Corée du Sud]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: Vision-based interfaces pose a tempting alternative to physical interfaces. Intuitive and multi-purpose, these interfaces could allow people to interact with computer naturally and effortlessly. The existing various vision-based interfaces are hard to apply in reality since it has many environmental constraints. In this paper, we introduce a vision-based game interface which is robust in varying environments. This interface consists of three main modules: body-parts localization, pose classification and gesture recognition. Firstly, body-part localization module determines the locations of body parts such as face and hands automatically. For this, we extract body parts using SCI-color model, human physical character and heuristic information. Subsequently, pose classification module classifies the positions of detected body parts in a frame into a pose according to Euclidean distance between the input positions and predefined poses. Finally, gesture recognition module extracts a sequence of poses corresponding to the gestures from the successive frames, and translates that sequence into the game commands using a HMM. To assess the effectiveness of the proposed interface, it has been tested with a popular computer game, Quake II, and the results confirm that the vision-based interface facilitates more natural and friendly communication while controlling the game.
Url:
DOI: 10.1007/11949534_66
Affiliations:
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Intuitive and multi-purpose, these interfaces could allow people to interact with computer naturally and effortlessly. The existing various vision-based interfaces are hard to apply in reality since it has many environmental constraints. In this paper, we introduce a vision-based game interface which is robust in varying environments. This interface consists of three main modules: body-parts localization, pose classification and gesture recognition. Firstly, body-part localization module determines the locations of body parts such as face and hands automatically. For this, we extract body parts using SCI-color model, human physical character and heuristic information. Subsequently, pose classification module classifies the positions of detected body parts in a frame into a pose according to Euclidean distance between the input positions and predefined poses. Finally, gesture recognition module extracts a sequence of poses corresponding to the gestures from the successive frames, and translates that sequence into the game commands using a HMM. To assess the effectiveness of the proposed interface, it has been tested with a popular computer game, Quake II, and the results confirm that the vision-based interface facilitates more natural and friendly communication while controlling the game.</div></front></TEI><affiliations><list><country><li>Corée du Sud</li></country></list><tree><country name="Corée du Sud"><noRegion><name sortKey="Park, Hye Sun" sort="Park, Hye Sun" uniqKey="Park H" first="Hye Sun" last="Park">Hye Sun Park</name></noRegion><name sortKey="Jung, Do Joon" sort="Jung, Do Joon" uniqKey="Jung D" first="Do Joon" last="Jung">Do Joon Jung</name><name sortKey="Jung, Do Joon" sort="Jung, Do Joon" uniqKey="Jung D" first="Do Joon" last="Jung">Do Joon Jung</name><name sortKey="Kim, Hang Joon" sort="Kim, Hang Joon" uniqKey="Kim H" first="Hang Joon" last="Kim">Hang Joon Kim</name><name sortKey="Kim, Hang Joon" sort="Kim, Hang Joon" uniqKey="Kim H" first="Hang Joon" last="Kim">Hang Joon Kim</name><name sortKey="Park, Hye Sun" sort="Park, Hye Sun" uniqKey="Park H" first="Hye Sun" last="Park">Hye Sun Park</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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