Musical Robots and Interactive Multimodal Systems

Jorge Solis, Kia Ng (Herausgeber)

Buch | Hardcover
XVIII, 278 Seiten
2011 | 2011
Springer Berlin (Verlag)
978-3-642-22290-0 (ISBN)
149,79 inkl. MwSt

Musical robotics is a multi- and trans-disciplinary research area involving a wide range of different domains that contribute to its development, including: computer science, multimodal interfaces and processing, artificial intelligence, electronics, robotics, mechatronics and more. A musical robot requires many different complex systems to work together; integrating musical representation, techniques, expressions, detailed analysis and controls, for both playing and listening. The development of interactive multimodal systems provides advancements which enable enhanced human-machine interaction and novel possibilities for embodied robotic platforms. This volume is focused on this highly exciting interdisciplinary field. This book consists of 14 chapters highlighting different aspects of musical activities and interactions, discussing cutting edge research related to interactive multimodal systems and their integration with robots to further enhance musical understanding, interpretation, performance, education and enjoyment. It is dichotomized into two sections: Section I focuses on understanding elements of musical performance and expression while Section II concentrates on musical robots and automated instruments. Musical Robots and Interactive Multimodal Systems provides an introduction and foundation for researchers, students and practitioners to key achievements and current research trends on interactive multimodal systems and musical robotics.

Jorge Solis received his B.S. degree in Electronics Systems from the Monterrey Institute of Technology (Mexico) in 1998 and the Ph.D. degree from the Scuola Superiore Sant’Anna, Perceptual Robotics Laboratory (Italy) in 2004. He is an Assistant Professor of Robotics at Waseda University and Visiting Researcher at the Humanoid Robotics Institute, Waseda University. Prof. Solis is the author and co-author of over 130 technical papers for International Journals and Conferences. He is currently a co-chair of the IEEE-RAS TC on Biorobotics and Roboethics. He received the Finalist Awards on Entertainment Robots and Systems at the IROS2007 and IROS2009 (sponsored by the New Technology Foundation). His research involves the Humanoid Robots; Medical Robots and Systems; Education Robots; Rehabilitation Robots, Haptics Interfaces, Sound/ Gesture/Vision Recognition Systems and Tele-operation Systems.Kia Ng received his B.Sc. degree in Computational Science and Music, and Ph.D. in Computer Science from the University of Leeds (UK). Kia is director of the Interdisciplinary Centre for Scientific Research in Music (ICSRiM) and Senior Lecturer at the University of Leeds. His research interests include interactive multimedia, gesture analysis, computer vision and computer music. He has contributed to a range of large-scale research projects, including i-Maestro on technology-enhanced learning, CASPAR, and AXMEDIS on cross-media, with over 20M Euro funding. Kia has more than 150 publications and presented talks in over 30 countries including keynotes and invited lectures in Canada, China, France, Germany, Japan, UK, and USA. He has appeared on television and radio interviews such as BBC, Sky TV, and has been featured in the New York Times, Guardian, Financial Times, and others. Kia has also organised over 15 international events including conferences, exhibitions and a convention. Kia is a chartered scientist, a fellow of the Royal Society of Arts and a fellow of the Institute of Directors. Web: www.kcng.org Kia Ng received his B.Sc. degree in Computational Science and Music, and Ph.D. in Computer Science from the University of Leeds (UK). Kia is director of the Interdisciplinary Centre for Scientific Research in Music (ICSRiM) and Senior Lecturer at the University of Leeds. His research interests include interactive multimedia, gesture analysis, computer vision and computer music. He has contributed to a range of large-scale research projects, including i-Maestro on technology-enhanced learning, CASPAR, and AXMEDIS on cross-media, with over 20M Euro funding. Kia has more than 150 publications and presented talks in over 30 countries including keynotes and invited lectures in Canada, China, France, Germany, Japan, UK, and USA. He has appeared on television and radio interviews such as BBC, Sky TV, and has been featured in the New York Times, Guardian, Financial Times, and others. Kia has also organised over 15 international events including conferences, exhibitions and a convention. Kia is a chartered scientist, a fellow of the Royal Society of Arts and a fellow of the Institute of Directors. Web: www.kcng.org Kia Ng received his B.Sc. degree in Computational Science and Music, and Ph.D. in Computer Science from the University of Leeds (UK). Kia is director of the Interdisciplinary Centre for Scientific Research in Music (ICSRiM) and Senior Lecturer at the University of Leeds. His research interests include interactive multimedia, gesture analysis, computer vision and computer music. He has contributed to a range of large-scale research projects, including i-Maestro on technology-enhanced learning, CASPAR, and AXMEDIS on cross-media, with over 20M Euro funding. Kia has more than 150 publications and presented talks in over 30 countries including keynotes and invited lectures in Canada, China, France, Germany, Japan, UK, and USA. He has appeared on television and radio interviews such as BBC, Sky TV, and has been featured in the New York Times, Guardian, Financial Times, and others. Kia has also organised over 15 international events including conferences, exhibitions and a convention. Kia is a chartered scientist, a fellow of the Royal Society of Arts and a fellow of the Institute of Directors. Web: www.kcng.org Kia Ng received his B.Sc. degree in Computational Science and Music, and Ph.D. in Computer Science from the University of Leeds (UK). Kia is director of the Interdisciplinary Centre for Scientific Research in Music (ICSRiM) and Senior Lecturer at the University of Leeds. His research interests include interactive multimedia, gesture analysis, computer vision and computer music. He has contributed to a range of large-scale research projects, including i-Maestro on technology-enhanced learning, CASPAR, and AXMEDIS on cross-media, with over 20M Euro funding. Kia has more than 150 publications and presented talks in over 30 countries including keynotes and invited lectures in Canada, China, France, Germany, Japan, UK, and USA. He has appeared on television and radio interviews such as BBC, Sky TV, and has been featured in the New York Times, Guardian, Financial Times, and others. Kia has also organised over 15 international events including conferences, exhibitions and a convention. Kia is a chartered scientist, a fellow of the Royal Society of Arts and a fellow of the Institute of Directors. Web: www.kcng.org Kia Ng received his B.Sc. degree in Computational Science and Music, and Ph.D. in Computer Science from the University of Leeds (UK). Kia is director of the Interdisciplinary Centre for Scientific Research in Music (ICSRiM) and Senior Lecturer at the University of Leeds. His research interests include interactive multimedia, gesture analysis, computer vision and computer music. He has contributed to a range of large-scale research projects, including i-Maestro on technology-enhanced learning, CASPAR, and AXMEDIS on cross-media, with over 20M Euro funding. Kia has more than 150 publications and presented talks in over 30 countries including keynotes and invited lectures in Canada, China, France, Germany, Japan, UK, and USA. He has appeared on television and radio interviews such as BBC, Sky TV, and has been featured in the New York Times, Guardian, Financial Times, and others. Kia has also organised over 15 international events including conferences, exhibitions and a convention. Kia is a chartered scientist, a fellow of the Royal Society of Arts and a fellow of the Institute of Directors. Web: www.kcng.org

Musical robots and Interactive Multimodal Systems: An Introduction.- Section I: Understanding Elements of Musical Performance and Expression.- Sound-action Chunks in Music.- Automatic Music Transcription: from Monophonic to Polyphonic.- Multimodal Analysis of Expressive Gesture in Music Performance.- Input Devices and Music Interaction.- Capturing Bowing Gesture: Interpreting Individual Technique.- Interactive Multimedia for Technology-enhanced Learning with Multimodal Feedback.- Online Gesture Analysis and Control of Audio Processing.- Section II: Musical Robots and Automated Instruments.- Automated Piano: Techniques for Accurate Expression of Piano Playing.- McBlare: A Robotic Bagpipe Player.- Violin Playing Robot and Kansei.- Wind Instrument Playing Humanoid Robots.- Multimodal Techniques for Human-Robot Interaction.- Interactive Improvisation with a Robotic Marimba Player.- Interactive Musical System for Multimodal Musician-Humanoid Interaction. of Piano Playing.- McBlare: A Robotic Bagpipe Player.- Violin Playing Robot and Kansei.- Wind Instrument Playing Humanoid Robots.- Multimodal Techniques for Human-Robot Interaction.- Interactive Improvisation with a Robotic Marimba Player.- Interactive Musical System for Multimodal Musician-HumanoidInteraction. of Piano Playing.- McBlare: A Robotic Bagpipe Player.- Violin Playing Robot and Kansei.- Wind Instrument Playing Humanoid Robots.- Multimodal Techniques for Human-Robot Interaction.- Interactive Improvisation with a Robotic Marimba Player.- Interactive Musical System for Multimodal Musician-Humanoid Interaction.

Erscheint lt. Verlag 25.7.2011
Reihe/Serie Springer Tracts in Advanced Robotics
Zusatzinfo XVIII, 278 p.
Verlagsort Berlin
Sprache englisch
Maße 155 x 235 mm
Gewicht 568 g
Themenwelt Kunst / Musik / Theater Musik
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Technik Elektrotechnik / Energietechnik
Technik Maschinenbau
Schlagworte Automated Instruments • Biologically-Inspired Robots • Gesture acquisition • Human Motor Interaction • Intelligent Machine Musicianship • Multimodal Interface • Transfer Skill System
ISBN-10 3-642-22290-0 / 3642222900
ISBN-13 978-3-642-22290-0 / 9783642222900
Zustand Neuware
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