LIMS® organizes and supports projects that utilize Laban Movement Analysis/ Bartenieff Fundamentals and CMAs (Certified Movement Analysts), who research human movement and the meaningful nature of our interactions.
Laban Movement Analysis provides a map for movement and a framework for observing change and evolution of human behavior. It is an excellent tool for social scientists, neuroscientists, technology designers, forensics experts, educational practitioners and researchers, critics and literary and non-literary theorists, and fitness, health, and medical researchers. It is a valid, reliable systematic method for analyzing, documenting, describing and recreating human movement through micro and macro pattern analysis.
Let us connect you to CMAs qualified to assist you in your research, or, if you are a CMA, to researchers in your areas of interest.
Photo: Miriam Phillips, CMA – “Your Brain on Dance” explored closed-loop visual neuro-feedback of evolving brain waves during flamenco and improvisational dance. Presented with Karen Bradley at the 2016 Int’l Conference on Mobile Brain-Body Imaging and the Neuroscience of Art, Innovation and Creativity, Cancun, Mexico.
Bibliography of recent studies and scholarly projects utilizing Laban Movement Analysis
Recent Projects using or studying LMA/BF
http://movingstories.camovingstories focuses on designing digital tools for movement, meaning and interaction investigated through the intersection of three unique domains: 1) somatic practices including laban movement analysis, 2) digital interaction technologies, and 3) social and cultural applications and outcomes. movingstories supports an innovative and interdisciplinary approach to redesigning digital technologies based on overlapping yet differentiated epistemological approaches to understanding movement.
http://www.reimaginechoreometrics.com/The current project reimagines the ways in which the over 3,000 film clips of dances from around the world that comprise part of the Lomax collection at the Library of Congress could be digitized, marked up, analyzed, cross-referenced, and made accessible.