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Motion capture is gaining high popularity in recent years in the field of robotics, animation, health care, computer games, virtual reality, security, and entertainment. Through the use of advance motion tracking system, human motion data can be captured, processed and used in potential human-centered environment for the control of humanoid robots and medical assistive devices to perform complex and daunting task. However, the range of possible human motion consist of a very large number of degrees of freedom and the task of motion capturing, generation and control of these biomimetic systems can be very cumbersome and complicated. The challenge faced by modern researchers in the field of motion capture is that there is no single solution that can address the shortcomings faced by various commercial motion capture systems available and these systems are usually very expensive and are intricate in the setting up and application process. Hence, the focus of this project is on the development a novel yet cheap sensing technology with high performance un-tethered wearable human motion processing system that is used for real-time sensing and processing of anatomical motion data. Embedded sensing techniques for the detection of individual joint movement, ergonomics and placement of the sensing system addressing wearability issue and the performance of the sensors will be the main research topics. Major applications of this human motion capturing system will be in the instantaneous control and manipulation of virtual figures in a 3-D virtual environment such as interactive media, games and films, and also the control of articulated physical biomechatronic systems, such as humanoid robots and rehabilitation devices. In this project, a new type of sensors was developed to detect bending and warping of limbs and joints as the fundamental element of the body motion processing system. The sensing device is to be free from signal interference, obstruction or shadow effect, these sensor strips can be woven into a web directly worn by the human or embedded into the clothing. The patterns of the strip sensor web can be configured for a specific application as well as customized based on the biometric data of the user. An embedded processing unit will handle the bending information of all strip sensors to produce the complete body motion data based on the patterns of the strips and biometric data of the user in ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library-II-real-time. The real-time motion data can be used for control and manipulation of physical and virtual systems through wireless communication capability built into the system.

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