AcceloPrint: Fabricating Customizable Accelerometers with Multi-Material 3D Printing

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/s<sup>2</sup>, with a root mean squared error of 0.35 m/s<sup>2</sup> (%3.57) in the range up to 10 m/s<sup>2</sup>. We demonstrate AcceloPrint with three application examples on sports performance tracking and tangible tools.

Authors

Institutions

Publication Details

Published
2025-04-23
DOI
https://doi.org/10.1145/3706599.3720059
Citations
2
Primary Topic
Interactive and Immersive Displays
Type
article
Field-Weighted Citation Impact
3.87
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AcceloPrint: Fabricating Customizable Accelerometers with Multi-Material 3D Printing

Michael Wessely, Doğa Özbek, Marwa AlAlawi
2 citations
Interactive and Immersive Displays
3.87
article

AcceloPrint: Fabricating Customizable Accelerometers with Multi-Material 3D Printing

Michael Wessely, Doğa Özbek, Marwa AlAlawi
article en
2 citations

Abstract

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/s<sup>2</sup>, with a root mean squared error of 0.35 m/s<sup>2</sup> (%3.57) in the range up to 10 m/s<sup>2</sup>. We demonstrate AcceloPrint with three application examples on sports performance tracking and tangible tools.

Aarhus University (DK), IIT@MIT (US)
Affordable and clean energy
Openalex Percentile: Top 8%
Interactive and Immersive Displays
3.87
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.