Gesture-Based Interface Using Baby Signs for the Elderly and People with Mobility Impairment in a Smart House Environment
Identifieur interne : 000D86 ( Main/Exploration ); précédent : 000D85; suivant : 000D87Gesture-Based Interface Using Baby Signs for the Elderly and People with Mobility Impairment in a Smart House Environment
Auteurs : Tae-Young Lee [Corée du Sud] ; Heon-Hui Kim [Corée du Sud] ; Kwang-Hyun Park [Corée du Sud]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: We present a development of a gesture-based interface for the elderly and people with mobility impairment in a smart house environment. To reduce a burden of memorizing a variety of gesture commands, we introduce baby signs which are natural and easy-to-remember body signs without special education. The baby signs can be applied not only to communicate with others but also to interact with a computer for people with low level of proficiency in conventional peripherals. To achieve this purpose, we have attempted to create a real application working under illumination change and real-time requirement. The system observes the user’s sign by a monitor-mounted camera and color gloves. Introducing a robust hand segmentation method against illumination change and adopting HMMs, our initial result shows 94.33% success rate for 6 sign words.
Url:
DOI: 10.1007/978-3-642-13778-5_31
Affiliations:
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To reduce a burden of memorizing a variety of gesture commands, we introduce baby signs which are natural and easy-to-remember body signs without special education. The baby signs can be applied not only to communicate with others but also to interact with a computer for people with low level of proficiency in conventional peripherals. To achieve this purpose, we have attempted to create a real application working under illumination change and real-time requirement. The system observes the user’s sign by a monitor-mounted camera and color gloves. Introducing a robust hand segmentation method against illumination change and adopting HMMs, our initial result shows 94.33% success rate for 6 sign words.</div></front></TEI><affiliations><list><country><li>Corée du Sud</li></country><region><li>Région capitale de Séoul</li></region><settlement><li>Séoul</li></settlement></list><tree><country name="Corée du Sud"><region name="Région capitale de Séoul"><name sortKey="Lee, Tae Young" sort="Lee, Tae Young" uniqKey="Lee T" first="Tae-Young" last="Lee">Tae-Young Lee</name></region><name sortKey="Kim, Heon Hui" sort="Kim, Heon Hui" uniqKey="Kim H" first="Heon-Hui" last="Kim">Heon-Hui Kim</name><name sortKey="Kim, Heon Hui" sort="Kim, Heon Hui" uniqKey="Kim H" first="Heon-Hui" last="Kim">Heon-Hui Kim</name><name sortKey="Lee, Tae Young" sort="Lee, Tae Young" uniqKey="Lee T" first="Tae-Young" last="Lee">Tae-Young Lee</name><name sortKey="Park, Kwang Hyun" sort="Park, Kwang Hyun" uniqKey="Park K" first="Kwang-Hyun" last="Park">Kwang-Hyun Park</name><name sortKey="Park, Kwang Hyun" sort="Park, Kwang Hyun" uniqKey="Park K" first="Kwang-Hyun" last="Park">Kwang-Hyun Park</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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