TUBE!

Exploring material and movement expression by body encountering with knitted structure and machine

The installation investigates the interaction of body within con-fined textile structure

(knitted tube 1, hanging + knitted tube 2 on floor) and document body and movement

explorations changing the aesthetic expression. The ephemeral embodied explorations are

documented by using machine learning model Posenet that can estimate human

movement. This will reflect on the outcome of existing methods and studying how the EDI

(embodied design ideation) framework can be used to develop new methods for fashion

and textile design processes. The EDI (embodied design ideation) method has been actively

referred to by the researchers both in the field of human-computer interaction (HCI) and

embodied inter-action. These methods help to view body and material within the thought

context and draw relationship that is used to inform a de-sign. Posenet is used as a

sketching tool to document spatial levels and structural characteristics of body while

moving. This further identifies how and where movement occurs. The results question the

limitation of technology and highlight through experiment when and where Posenet stops

identifying body movement.