李永輝952221E011075

李永輝952221E011075

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1 行݁৫਷࢕߅ኪ։ࡰึ໾пਖ਼ᕚ޼Ӻࠇ೥ ϓ؈ జѓ ՈʝਗછՓၾઋྤ઺ኪٙཥ໘ႾпʈЪ१ʘணࠇၾ೯࢝ Design and development of an immersive environment and interactive input device for a computer aided workplace design program ( ɚ年ࠇ೥ʘୋɚ年 ) ࠇ೥類йjĩ ࡈйۨࠇ೥ ዆Υۨࠇ೥ ࠇ೥ᇜ໮j NSC 95-2221-E-011-075 ੂ行ಂගj 9 08 ˜ 01 ˚Ї 96 07 ˜ 31 ˚ ࠇ೥ᇜ໮j NSC 95-2221-E-011-075 ੂ行ಂගj 9 08 ˜ 01 ˚Ї 96 07 ˜ 31 ˚ ˴ܵɛj 李͑ሾ ਷立̨ᝄ߅Ҧɽኪ ʈุ၍理ӻ ௓ܔඪ ਷立̨ᝄ߅Ҧɽኪ ʈุਠุணࠇኪӻ ࠇ೥參ၾɛࡰjᇹن֪eเྫྷ⥳e௓ݡϞeᘽ׋༐ ʈุ၍理ӻ ϓ؈జѓ類ۨ ( Ա຾൬֛ࣨ૶ఊ஝֛ᖮʹ ) j 精ᔊజѓ ĩҁ዆జ ѓ ͉ϓ؈జѓܼ̍˸ɨᏐᖮʹʘڝ΁j ࠌ਷̮̈ࢨא޼୦ː੻జѓɓ΅ ࠌɽ陸ήਜ̈ࢨא޼୦ː੻జѓɓ΅ ̈ࢩ਷ყኪஔึᙄː੻జѓʿ೯ڌʘ論˖΢ɓ΅ ਷ყΥЪ޼Ӻࠇ೥਷̮޼Ӻజѓࣣɓ΅ ஈ理˙όjৰପኪΥЪ޼Ӻࠇ೥e౤ʺପุҦஔʿɛʑ੃ԃ޼Ӻ ࠇ೥e列၍ࠇ೥ʿɨ列ઋҖ٫̮d੻立уʮකݟ༔ ऒʿਖ਼利אՉ˼౽ৌᛆd ɓ年 ɚ年ܝ̙ʮකݟ༔ ੂ行ఊЗj ਷立ᝄ߅Ҧɽኪ ʈุ၍理ӻ ʕ ͏ 96 8 ˜ 20 ˚
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2 1. Introduction As an alternative to traditional input devices, researchers are exploring the possibility of adopting hand gestures in applications to computer games, interactive computer graphics, hand tracking and television control (Al-Jarrah & Halawani, 2001). Hand gestures are mainly used to communicate and to express ideas. Detecting, tracking and identifying hand movements and interpreting gestic acts are currently the capabilities required of pervasive computing and wearable devices in applications such as smart environments and perceptual user interfaces (Pentland, 2000). Both glove-based and opto-electronic motion capture systems have been employed to obtain the spatial-temporal information of finger kinematics (Braido & Zhang, 2004). Accuracy in quantifying the “true” underlying rigid-body kinematics has been obtained by using a surfaced-based opto-electronic measuring system (Zhang & Braido, 2003). This study proposes a 3D HGRS for recognition of 20 static hand gestures in Taiwan Sing languages (TSL). As a primary component of many sign languages and in particular TSL,
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This note was uploaded on 11/27/2009 for the course IM MA420 taught by Professor Mar,lee during the Spring '09 term at National Taiwan University.

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李永輝952221E011075

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