Action recognition technology has many application fields including gaming, human-computer interaction, security, virtual reality, etc. The technology has recently advanced and simplified by the introduction of real time depth cameras. The most famous depth camera, Kinect, has shown its success in human action recognitions by supervised learning methods. However, those method require a large number of motion capture data as the ground truth of each skeleton points. This paper proposes a human skeleton extraction method without using reference data. The method extracts the minimum number of articulation points instead of full skeleton data. The articulation points are used as an real-time interface for 3D interaction games.

Although motivation and fun are important for effective speech therapy, the conventional speech therapy is often conducted by using a textbook which can be boring to the speech-handicapped. The present study is to develop a speech therapy serious game for rehabilitation of the handicapped with articulation and fluency in speech. A speech therapy game was developed in the present study through the following four-step approach: (1) benchmarking analysis of 8 speech therapy systems, (2) analysis of 22 parents, (3) development of the framework of the speech therapy game and ideas for speech therapy game contents, and (4) implementation of the speech therapy serious game system using C# and the game engine Unity. The speech therapy serous game developed in the study can be of help for rehabilitation of articulation and fluency for the speech-handicapped.

Articulation Index(AI) is the one of the evaluating methods for the interior sound of the automobiles. The AI measures the articulation level of the sound in the vehicle cabin as passengers talk to another. In this study, the effects of AI were investigated according to the various structures of tire. As the structures of tire were changed, the road noise of the vehicle tire was measured using objective measurement. From this measurement data, the AI was calculated. The AI of front is larger than that of rear. Increasing the tread hardness of tire or decreasing the apex height the AI is improved.

Articulation Index(AI) is the one of the evaluating methods for the interior sound of the automobiles. The AI measures the articulation level of the sound in the vehicle cabin as passengers talk to another. In this study, the effects of AI were investigated according to the various structures of tire. As the structures of tire were changed, the road noise of the vehicle tire was measured using objective measurement. From this measurement data, the AI was calculated. The AI of front is larger than that of rear. Increasing the tread hardness of tire or decreasing the apex height the AI is improved.

This paper begins with an assumption that the performer's interpretation could be influenced by his or her diverse analyses. Among the various elements that can have an effect on the analyse, the decision of a structural harmony and the rhythmic issue that originater from a conflict between tonal and durational rhythms are the primary concern of the paper. The paper tackles the issue of which dominant will be selected as a more structural one in an analytic situation, in which a half cadence is followed by the other half cadence. After discussing strengths and drawbacks of the readings, I cautiously propose performance suggestions that can be derived from each reading. I interpret the meter and measure by considering rhythmic aspects of a piece and finally suggest rebarring a passage to a better understanding. I also discuss how a decision of a long-range structural harmony that governs subsequent harmonic succession can influence the interpretation and performance of a performer.