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Dance recognition system using lower body movement.

Travis T Simpson¹, Susan L Wiesner, Bradford C Bennett

¹Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, VA.

Journal of Applied Biomechanics

|May 17, 2013

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Researchers developed an automated system to identify dance movements from film using lower body kinematic analysis. This pattern recognition technology accurately identifies complex movements, aiding research in sports and dance analysis.

Area of Science:

Biomechanics
Computer Science
Kinesiology

Background:

Manual film analysis for movement research is time-consuming and difficult.
Automated identification of complex, full-body movements from film is lacking.
Pattern recognition and joint location data can enable automated movement description.

Purpose of the Study:

To develop an automated system for identifying codified dance movements from film.
To create an algorithm for comparing unknown movements against a database of known dance moves.
To enable efficient research into movement characteristics and patterns in sports and dance.

Main Methods:

Utilized lower body kinematic analysis for movement identification.
Developed a classification and template correlation algorithm.

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Created a database of approximately 90 model dance and Tai Chi Chuan movements.

Main Results:

Achieved over 97% accuracy in identifying known dance and Tai Chi Chuan movements.
The system successfully compared unknown moves against the database.
The program provided kinematic descriptions for both matched and unmatched moves.

Conclusions:

Automated kinematic analysis offers a highly accurate solution for identifying complex movements in film.
This technology significantly reduces the time and effort required for movement research.
The developed system has broad applications in sports, dance, and biomechanical analysis.