AcceloPrint: Fabricating Customizable Accelerometers with Multi-Material 3D Printing
Author(s)
Ozbek, Doga; AlAlawi, Marwa; Wessely, Michael
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We introduce AcceloPrint, 3D-printed acceleration sensors that can be fabricated in one pass alongside a 3D object and report on its angular orientation or acceleration. AcceloPrint utilizes capacitive sensing to track the deflection of a 3D printed cantilever beam to a sensor patch. Our AcceloPrint tool integrated into a 3D editor generates a sensor with a user-defined sensing range generated by our computational model. We also propose a novel sensor design with an adjustable sensing range post-fabrication. Our technical evaluation shows our sensor can detect acceleration up to 50 m/s2, with a root mean squared error of 0.35 m/s2 (%3.57) in the range up to 10 m/s2. We demonstrate AcceloPrint with three application examples on sports performance tracking and tangible tools.
Description
CHI EA ’25, Yokohama, Japan
Date issued
2025-04-25Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence LaboratoryPublisher
ACM|Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
Citation
Doga Ozbek, Marwa AlAlawi, and Michael Wessely. 2025. AcceloPrint: Fabricating Customizable Accelerometers with Multi-Material 3D Printing. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA '25). Association for Computing Machinery, New York, NY, USA, Article 59, 1–8.
Version: Final published version
ISBN
979-8-4007-1395-8