Abstract
The paper presents a real-time tool for the segmentation and analysis of body gestures, part of a larger se- tup for exploring music and dance in the contexts of electroacoustic composition, live-electronics and other interac- tive performances. The idea of gesture is the foundation of the proposed interactive strategies, and is discussed from different points of view. The current implementation uses the Max/Msp programming language and Kinect sensors. The segmentation of dance gestures is based on the inspection of the zero-crossings of the acceleration curve of ea- ch body joint. Concepts from Laban Movement Analysis are used to qualify the extracted gestures. Dance improvi- sations on Petrushka excerpts are the basis of a case study, where the relations between the music (tempo, pulses,instrumentation, character) and Laban Basic Actions are stressed.
Highlights
Recent technologies are responsible for the increasing number of researches and activities dealing with music and movement, a relationship deeply rooted in every human culture
The focus is on the analysis of the gesture in dance, where digital techniques of motion capture, associated with elements from Laban Movement Analysis, are explored with the aim of developing methods of real-time segmentation and description of gestures in dance
We introduce the concept of gesture and how it has been used in areas as music, dance and human– computer interaction (HCI)
Summary
Recent technologies are responsible for the increasing number of researches and activities dealing with music and movement, a relationship deeply rooted in every human culture. Our research is located at the intersection of three areas: study of the sound gesture, study of the gesture in the context of new sound interfaces and the study of the movement qualities in dance. We have developed strategies and tools for interactive musical situations that explore dance and music within the context of electroacoustic composition, live-electronics and other interactive performances. The focus is on the analysis of the gesture in dance, where digital techniques of motion capture, associated with elements from Laban Movement Analysis, are explored with the aim of developing methods of real-time segmentation and description of gestures in dance. We introduce the concept of gesture and how it has been used in areas as music, dance and HCI (human-computer interaction). We present the steps for the fulfillment of planned interactive tool
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