Title :
A gesture-driven multimodal interactive dance system
Author :
Gang Qian ; Guo, Feng ; Ingalls, Todd ; Olson, Lowell ; James, Jody ; Rikakis, T.
Author_Institution :
Arts, Media & Eng. Program, Arizona State Univ., Tempe, AZ
Abstract :
In this paper, we report a real-time gesture driven interactive system with multimodal feedback for performing arts, especially dance. The system consists of two major parts., a gesture recognition engine and a multimodal feedback engine. The gesture recognition engine provides real-time recognition of the performer´s gesture based on the 3D marker coordinates from a marker-based motion capture system. According to the recognition results, the multimodal feedback engine produces associated visual and audio feedback to the performer. This interactive system is simple to implement and robust to errors in 3D marker data. Satisfactory interactive dance performances have been successfully created and presented using the reported system
Keywords :
gesture recognition; humanities; interactive systems; multimedia systems; real-time systems; 3D marker coordinates; gesture recognition engine; gesture-driven dance system; marker-based motion capture system; multimodal feedback engine; multimodal interactive dance system; real-time system; Arm; Art; Engines; Feature extraction; Humans; Interactive systems; Leg; Real time systems; Space technology; Torso;
Conference_Titel :
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
0-7803-8603-5
DOI :
10.1109/ICME.2004.1394550