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

Research and Education in Computational Science and Engineering

Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie

Curriculum Guidelines for Undergraduate Programs in Data Science

The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science. The group consisted of 25 undergraduate faculty from a variety of institutions in the U.S., primarily from the disciplines of mathematics, statistics and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in Data Science

Computational Visualistics: Dealing with Pictures in Computer Science

Building blocks from many disciplines have to be integrated into a general science of images. Computational visualistics has been formed as a contributing field embracing all aspects of dealing with images computationally. Two basic concepts of computer science are introduced. Applied to the concept "image", they determine the methodological core of computational visualistics. As the contribution of computer science to the subject of image theory, interactive pictures are examined. Finally, relations to other "image sciences" are sketched. * * * Bausteine vieler Disziplinen müssen in eine allgemeine Bildwissenschaft integriert werden. Als Beitrag aus der Informatik versteht sich die Computervisualistik, die alle Aspekte rechnergestützten Umgangs mit Bildern umfaßt. Zwei Grundbegriffe der Informatik werden vorgestellt und bestimmen, auf den Begriff "Bild" angewendet, den methodologischen Kern der Computervisualistik. Als Beitrag der Informatik zum Gegenstand der Bildtheorie werden interaktive Bilder betrachtet. Schließlich werden die Beziehungen zu anderen "Bildwissenschaften" kurz umrissen

Experiences on Using TRAKLA2 to Teach Spatial Data Algorithms

AbstractThis paper reports on the results of a two year project in which visual algorithm simulation exercises were developed for a spatial data algorithms course. The success of the project is studied from several point of views, i.e., from developer's, teachers's, and student's perspective. The amount of work, learning outcomes, and feasibility of the system has been estimated based on the data gathered during the project. The results are encouraging, which motivates to extend the concept also for other courses in the future