Statistical analysis of human boy movement and group interactions in response to music

Quantification of time series that relate to physiological data is challenging for empirical music research. Up to now, most studies have focused on time-dependent responses of individual subjects in controlled environments. However, little is known about time-dependent responses of between-subject interactions in an ecological context. This paper provides new findings on the statistical analysis of group synchronicity in response to musical stimuli. Different statistical techniques were applied to time-dependent data obtained from an experiment on embodied listening in individual and group settings. Analysis of inter group synchronicity are described. Dynamic Time Warping (DTW) and Cross Correlation Function (CCF) were found to be valid methods to estimate group coherence of the resulting movements. It was found that synchronicity of movements between individuals (human human interactions) increases significantly in the social context. Moreover, Analysis of Variance (ANOVA) revealed that the type of music is the predominant factor in both the individual and the social context

Dance-the-music : an educational platform for the modeling, recognition and audiovisual monitoring of dance steps using spatiotemporal motion templates

In this article, a computational platform is presented, entitled “Dance-the-Music”, that can be used in a dance educational context to explore and learn the basics of dance steps. By introducing a method based on spatiotemporal motion templates, the platform facilitates to train basic step models from sequentially repeated dance figures performed by a dance teacher. Movements are captured with an optical motion capture system. The teachers’ models can be visualized from a first-person perspective to instruct students how to perform the specific dance steps in the correct manner. Moreover, recognition algorithms-based on a template matching method can determine the quality of a student’s performance in real time by means of multimodal monitoring techniques. The results of an evaluation study suggest that the Dance-the-Music is effective in helping dance students to master the basics of dance figures

User-Centered Control of Audio and Visual Expressive Feedback by Full-Body Movements

In this paper we describe a system allowing users to express themselves through their full-body movement and gesture and to control in real-time the generation of an audio-visual feedback. The systems analyses in real-time the user\u2019s full-body movement and gesture, extracts expressive motion features and maps the values of the expressive motion features onto real-time control of acoustic parameters for rendering a music performance. At the same time, a visual feedback generated in real-time is projected on a screen in front of the users with their coloured silhouette, depending on the emotion their movement communicates. Human movement analysis and visual feedback generation were done with the EyesWeb software platform and the music performance rendering with pDM. Evaluation tests were done with human participants to test the usability of the interface and the effectiveness of the design

Detección de emociones en textos y su aplicación a la categorización de obras y autores

Trabajo fin de máster en Ingeniería Informática y Telecomunicacione