Design of 3D Controller Using Nanocracking Structure-Based Stretchable Strain Sensor

In this study, we introduce a novel design for a three-dimensional (3D) controller, which incorporates the omni-purpose stretchable strain sensor (OPSS sensor). This sensor exhibits both remarkable sensitivity, with a gauge factor of approximately 30, and an extensive working range, accommodating strain up to 150%, thereby enabling accurate 3D motion sensing. The 3D controller is structured such that its triaxial motion can be discerned independently along the X, Y, and Z axes by quantifying the deformation of the controller through multiple OPSS sensors affixed to its surface. To ensure precise and real-time 3D motion sensing, a machine learning-based data analysis technique was implemented for the effective interpretation of the multiple sensor signals. The outcomes reveal that the resistance-based sensors successfully and accurately track the 3D controller's motion. We believe that this innovative design holds the potential to augment the performance of 3D motion sensing devices across a diverse range of applications, encompassing gaming, virtual reality, and robotics.

Automated summary

In this study, a novel three-dimensional (3D) controller design incorporating a versatile stretchable strain sensor (OPSS sensor) is introduced. The OPSS sensor exhibits high sensitivity with a gauge factor of approximately 30 and a wide working range accommodating strain up to 150%, enabling precise 3D motion sensing. By quantifying the deformation of the controller through multiple OPSS sensors, the triaxial motion along the X, Y, and Z axes can be discerned independently. A machine learning-based data analysis technique was implemented for accurate and real-time interpretation of the sensor signals. The results demonstrate that resistance-based sensors successfully track the 3D controller's motion. This innovative design has the potential to enhance the performance of 3D motion sensing devices in various applications including gaming, virtual reality, and robotics.