Human Motion Generation in Digital Design Process

• Main Authors: Kuo, Chien-Fu, 郭建甫
• Other Authors: Wang, Mao-Jiun
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/02473300641908399510

博士 === 國立清華大學 === 工業工程與工程管理學系 === 97 === The digital design process is progressively realized by advanced information technology nowadays. Using digital human model (DHM) in the early phase of design has become a vital practice in industry. However, how to simulate the realistic human motion, to facilitate the motion generating process, and to produce valuable human information are always the main concerns in this field. Therefore, this research focused on developing the practicable motion generating methods including the real-time interactive method and the semantic methods. First of all, the Interactive Virtual Evaluation (IVE) method was proposed in this research. By integrating the VR technology, motion capture, and digital human model (DHM) system, the virtual prototypes of a system and interface design can be created and tested in the digital world. The proposed method has been applied to the controller interface design of a missile launching vehicle. Further, the semantic method, Motion Generation from MTM, was to automate and standardize the motion creation process. A time study method known as “Method Time Measurement (MTM)” was used as the basis for defining the operational motion semantics which can be used by the designer to produce the human simulation in the digital environment. Motion Generation from Natural Language was the subsequent research of the MTM method. Through changing the input from MTM semantics to natural language, increasing the functions in motion generation algorithm, and introducing empirical time database accumulated from automotive industry, the semantic method was able to enhance in its accuracy and practical value. These semantic methods have been applied to automotive industry for work and workplace design.