Mring: Contactless MR/AR Extended Input Method Based on Magnetic Signal

In recent years, the rapid rise of Mixed Reality (MR) and Augmented Reality (AR) technologies has transformed digital interactions and immersive experiences, as evidenced by their widespread adoption in AR glasses, MR headsets, and mobile AR applications. However, integrating MR and AR into everyday life also presents unique problems, particularly concerning user interactions within limited visual fields and discomfort caused by prolonged arm elevation. To address these challenges, our research introduces an innovative input device utilizing common wearable device magnetometer sensors and a strong magnet as input controls. We employ innovative methods to eliminate environmental magnetic field and soft magnetic offset, achieving trajectory restoration with an error margin of 5.23 mm through machine learning and trajectory smoothing algorithms. This enables our input device to interact with MR and AR devices beyond the user’s visual range, expanding operational space, and enhancing usability.

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Publication Details

Journal
ACM Transactions on Sensor Networks
Published
2024-12-11
DOI
https://doi.org/10.1145/3708345
Citations
1
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
0.25

Funders

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article

Mring: Contactless MR/AR Extended Input Method Based on Magnetic Signal

Feng Li, Yipeng Liu, Feng Hong, Chao Liu et al.
1 citations
ACM Transactions on Sensor Networks
Augmented Reality Applications
0.25
article

Mring: Contactless MR/AR Extended Input Method Based on Magnetic Signal

Feng Li, Yipeng Liu, Feng Hong, Chao Liu, Jiguo Yu, Zhongwen Guo
article en
1 citations

Abstract

In recent years, the rapid rise of Mixed Reality (MR) and Augmented Reality (AR) technologies has transformed digital interactions and immersive experiences, as evidenced by their widespread adoption in AR glasses, MR headsets, and mobile AR applications. However, integrating MR and AR into everyday life also presents unique problems, particularly concerning user interactions within limited visual fields and discomfort caused by prolonged arm elevation. To address these challenges, our research introduces an innovative input device utilizing common wearable device magnetometer sensors and a strong magnet as input controls. We employ innovative methods to eliminate environmental magnetic field and soft magnetic offset, achieving trajectory restoration with an error margin of 5.23 mm through machine learning and trajectory smoothing algorithms. This enables our input device to interact with MR and AR devices beyond the user’s visual range, expanding operational space, and enhancing usability.

ACM Transactions on Sensor Networks
University of Electronic Science and Technology of China (CN), Shandong University (CN), Ocean University of China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Life in Land
Openalex Percentile: Top 44%
Augmented Reality Applications
0.25
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