Marionette

偶戲表演 (Performance) No Comments

表現出”偶”被操縱與尋求解脫的對話

成功的將操偶師融入表演內,

當然木偶的表情已經在第一步就提醒了觀眾

這是一個諷刺以及無奈

The puppeteer immerse a show that perfect prsent a puppet’s tragedy.

Everything show on the puppet face emotionally.

The Power of Dreams : ASIMO DINER2008

機器人(Robot) No Comments

ASIMO, (Advanced Step in Innovative Mobility)。是日本本田公司開發的目前世界上最先進的步行機器人。也是目前世界上唯一能夠爬樓梯,慢速奔跑的雙足機器人Honda希望開發出的機器人是能夠幫助人類,尤其是老年人的人類助手,而不是一個高科技玩具。因此ASIMO被設計成1.2的高度,正好能夠和輪椅上的人平視。ASIMO DINER 2008可看出來HONDA的用心。

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Reference:

RoboticFan

ShadowLight

偶戲表演 (Performance) No Comments

皮影戲Larry Reed 的網站,介紹他的ShadowLight皮影戲工作室

announcement.jpg

ShadowLight Productions, founded by Larry Reed in 1972, has a mission to bring the stories of the world to light. We hope to build a world community through crosscultural storytelling and the magic of shadow theater.

光纖式動作擷取系統

立體追蹤 (3D Motion Tracker) No Comments

This is a quick video illustrating how Measurand’s ShapeHand glove device can be used in the Quest3D software.

FiberMotion software (ShapeRecorder) 支援輸出以下格式:

BVH – skeletal data
3D – marker data
Cartesian

FiberMotion相容於以下軟體:

MOCAP (realt-time)
MotionBuilder (real-time)
ShapeRecorder (real-time)
3D Studio Max and Character Studio
XSI
Maya
Lightwave

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在人機介面的研究領域之中,基於手勢的人機介面系統 (gesture-based systems) 一直是個重要的課題,在手形的辨識上市面上已有一些產品問世,例如CyberGloveDataGloveShapeHand 等基於手套式感應器的產品,然而此類基於手套式感應器的產品單價都在數萬元之上,且限制使用者必須穿戴特定的手套,對於實際的應用推廣有著相當大的阻力。 

 延伸閱讀 Exten link

Measurand, Inc

Mirax Technology

Practical Motion Capture in Everyday Surroundings

立體追蹤 (3D Motion Tracker), 電腦圖像(Computer Graphic) 2 Comments

mit.jpg

By Daniel Vlasic, Rolf Adelsberger, Giovanni Vannucci, John Barnwell, Markus Gross, Wojciech Matusik, Jovan Popovi´c

Commercial motion-capture systems produce excellent in-studio reconstructions, but offer no comparable solution for acquisition in everyday environments. We present a system for acquiring motions almost anywhere. This wearable system gathers ultrasonic time-of-flight and inertial measurements with a set of inexpensive miniature sensors worn on the garment. After recording, the information is combined using an Extended Kalman Filter to reconstruct joint configurations of a body. Experimental results show that even motions that are traditionally difficult to acquire are recorded with ease within their natural settings. Although our prototype does not reliably recover the global transformation, we show that the resulting motions are visually similar to the original ones, and that the combined acoustic and inertial system reduces the drift commonly observed in purely inertial systems. Our final results suggest that this system could become a versatile input device for a variety of augmented-reality applications.

商業化的動作擷取系統多數可在工作室內重建出來,但提供無法提供解決方法於每日週遭環境中。因次我們提供一套可以在任何地方使用的動作擷取系統。這個 穿戴式系統利用低廉的微型傳感器miniature sensors收集超音波time-of-flight與慣性量測資料。經過紀錄後,將資訊結合外部Kalman Filter建置身體關節點結構。實驗結果顯示,即使動作一般屬於難以透過自然設定被擷取與紀錄。隨然我們的Prototype並不是很穩定的去完成全部3D人體的變形,但我們顯示的結果是Motion與視覺化的人物非常相近,並結合音響和慣性的系統,降低drift,研究的最終結果是建議這套系統可以成為多功能輸入裝置給予擴增實境方面的應用

相關連結 Extenal Link

Practical Motion Capture in Everyday Surroundings

Jovan Popović

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