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We present a novel technique that converts arbitrary 3D models into 3D printable shape-changing devices with sensing capability through the integrated helix-and-lattice structure. The structure comprises a central hollow helical channel, surrounded by lattice padding and a surface mesh, which allows the device to become elastic and deformable. By inserting a conductive steel wire into the hollow helical channel, inductive signals are generated when a current runs through the wire. When the device undergoes deformations, these inductive signals vary distinctively, reflecting the specific changes in the device's shape. These signals, specific to each type of deformation, are interpreted as interactive user input using a trained machine-learning classifier. We also showcase three example applications, including a deformable Christmas tree, a Snake game joystick controller, and a snowman-like light control.
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Lee et al. (2024) studied this question.
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