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Multimodal representation of conversational agents requires accurate synchronization of gesture and speech. For this purpose, we investigate the important issues in synchronization as a practical guideline for our algorithm design through a precedent case study and propose a two-step synchronization approach. Our case study reveals that two issues (i.e. duration and timing) play an important role in the manual synchronizing of gesture with speech. Considering the synchronization problem as a motion synthesis problem instead of a behavior scheduling problem used in the conventional methods, we use a motion graph technique with constraints on gesture structure for coarse synchronization in a first step and refine this further by shifting and scaling the motion in a second step. This approach can successfully synchronize gesture and speech with respect to both duration and timing. We have confirmed that our system makes the creation of attractive content easier than manual creation of equal quality. In addition, subjective evaluation has demonstrated that the proposed approach achieves more accurate synchronization and higher motion quality than the state-of-the-art method.

The object of this study is to make an olfactory model applicable to olfactory sensation. Firstly, the experiment was conducted to obtain the data of psychological response of odor intensity under the odor concentration with step change on time series. Ethyl acetate was used as the target odor. Secondly, the theoretical olfactory model based on the impulse response function is constructed. By regression analysis on the Lastly, unsteady state variations of odor intensity are calculated under various conditions of varying odor concentration.

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