F O R M S

What relationship exists between dance and visual art? How can dance visually express lines, shapes, and visual compositions in space? "F O R M S" presents a new digital art concept that results from the intersection between dance movement and machine learning technique, in particular, human pose detection. This intersection provides the creation of visual results which enrich the dance performance, in real-time.

 

Description: User tests through the geometric (left) and bézier form (right).

 

A framework has been developed to provide new different visual forms through the human pose detection from dancers. The main objective of this intersection is to enrich the perception of dance movement, through abstract or literal visual models that combine geometric and curvilinear forms.

 

Description: Studies on the keypoint connections. This initial study supported the matrices that were implemented for each different visual form.

 

Body language is the vehicle that drives the visual outcome of the interactive experience, creating a novel real-time visual expression of the dance movement. The hybrid format of the installation offers the audience a live performance and an open experience where anyone can interact with own movement through FORMS. It contributes to cultivating body awareness, understanding in major detail the dance movement, and enriching the art experience.

 

Description: Excerpt from a short performance rehearsal through geometric form.

 

The first creation was a contemporary dance piece "Perspectives" (June 2022) that I had the pleasure to choreograph and work with a pre-profissional dance students. The visual result of "F O R M S" contributed to a new layer on the stage, that gave the audience and dancers a new look about dance, movement and human-body.

 

Description: Excerpt from a short performance rehearsal through geometric form.

 

 

Publications

 

Nogueira, Maria Rita., Menezes, Paulo., and Maçãs de Carvalho, José. "Dance and Machine Learning: A study in human-pose detection to generate new visual approaches" International Conference on Graphics and Interaction (ICGI). 2022.

Nogueira, Maria Rita., Menezes, Paulo., and Maçãs de Carvalho, José."F O R M S: Creating Visual Composition Through the Dance Movement and Artificial Intelligence". The Paris Conference on Arts and Humanities (PCAH). 2022.