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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

即時自動產生人體下半身動作的運動計劃 / Real Time Planning for Humanoid Lower Body Motion

陳培鋒, Pei-Feng Chen Unknown Date (has links)
在製作動畫上,模擬人體的運動一直是困難的課題;但在如線上遊戲等急速成長的虛擬環境應用中,人物運動的動畫常是不可或缺的一環。過去在此方面的相關研究雖然為數不少,但大多數的系統皆只適用於某特定的地形或事先給定的腳步落點;能根據地形特徵而自動產生對應之行走運動者並不常見。本論文提議的系統,便是一個能即時模擬人體走路動作的運動計劃器。我們以反向關節運動的方式,分析人體在不平路面上行走時的運動特徵,並以貝茲曲線表示懸浮腿的運動軌跡。透過貝茲曲線控制點的調整,可以讓下半身的肢體避免碰觸到凸起的路面。其次,此系統也包含了腳步計劃的機制,讓虛擬人物能以行進效率為準則,計劃未來數步內保證可行的步伐。再者,我們根據實際測量的資料與觀察,找出行進過程中每個階段在時間分配上的差異,並利用製作動畫的原理,加入緩入與緩出的概念,以調整行走步伐的節奏,使動畫更具真實感。最後,我們將此模擬系統套用於「線上模擬」與「即時操控」兩種不同模式的應用系統,以驗證此系統之即時性與實用性。 / Simulating human motion has been an important and challenging topic in computer graphics for many years, especially after the booming of virtual environment applications such as on-line games. Although there has been much research on this topic, most previous systems are only capable of generating a realistic locomotion for a set of given footsteps on a flat ground in an off-line manner. The system we propose in this thesis is a lower-body motion simulator for humanoid capable of planning efficient footsteps and automatically generating collision-free locomotion in real time. First, we observe and analyze the motion characteristics of human walking and use Bézier curves to represent the trajectory of a floating leg during a stride. We use an inverse kinematics approach to compute the corresponding joint angles for a given leg trajectory. By adjusting the control points of the curve, we can change its shape to avoid collisions with the ground. Second, the system also includes a footstep planner that can generate successful and efficient gaits over an uneven terrain with an empirical energy consumption model. Third, according to observation and measured data, we use the “ease-in” and “ease-out” techniques and appropriate timing for each phase of a walking cycle to generate more realistic motions. Finally, we have applied this motion simulator to a virtual environment system with two types of operation modes: on-line simulation and real-time navigation which are verified the efficiency and practicability of such a system.

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