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Human spontaneous motions such as walking and runing are seldom described in detail. However, some well designed motions such as conditioning and rehabilitation exercises are usually described in detail and edited into exercise manuals for training purpose. This paper presents a novel framework for synthesizing new motions based on given motion manuals and corresponding motion capture examples. First, using text analysis method, a set of basic motion texts is extracted from exercise manuals and converted into text normal form. Then we introduce an annotation method to build the mapping table between basic motion texts and their corresponding motion clips in the given examples. To facilitate the search for proper motion clips, a multi-dimensional index structure based on posture parameters is proposed. Then a new motion with given textual description can be synthesized by converting the description sentences into a sequence of text normal forms and then concatenating the corresponding motion clips to form the desired motion. Moreover, to realize the smooth concatenation, we show that it can be achieved by finding an appropriate path in the proposed multi-dimensional index space. Several experimental examples are given to demonstrate the proposed method is effective in synthesizing desired motions according to given descriptions.

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This paper presents a dynamics-based Effort simulator so that a given motion can be modified according to specified Effort qualities. The basic idea of our approach is to establish relations between Effort factors such as Space, Weight, Time, and Flow, and their corresponding dynamics parameters such as force, stiffness, inertia, damping, gravity, and etc in the simulator. Then, a motion with specified Effort quality can be realized by mapping it to appropriate dynamics parameters of the simulator. The proposed simulator has two merits: it is motion capture-driven, therefore it is able to synthesize motion details and easily to be incorporated into popular motion capture applications. Besides, it is dynamics based and therefore it provides high-level control intuition of motion dynamics in specifying Effort qualities. To demonstrate the effectiveness of the proposed simulator, several experimental examples are presented and their results are discussed.

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