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.

Chao Liu

Yipeng Liu

Feng Hong

Zhongwen Guo

Jiguo Yu

Feng Li

ACM Transactions on Sensor Networks

ACM TRANSACTIONS ON SENSOR NETWORKS (TOSN) 是 ACM 在传感器网络跨学科领域的核心出版物，涵盖从信号处理、网络和协议、嵌入式系统、信息管理到分布式算法的广泛学科。它涵盖了引入新概念、技术、分析或架构的研究贡献，以及报告新工具和系统开发或具有高影响力、创新应用的经验和实验的应用贡献。这些交易特别关注对传感器网络系统方法的贡献以及基本贡献。

ACM Transactions on Sensor Networks (TOSN) is a key publication by ACM in the interdisciplinary field of sensor networks, covering a wide range of subjects from signal processing, networking and protocols, embedded systems, information management, to distributed algorithms. It accepts research contributions that introduce new concepts, technologies, analyses, or architectures, as well as reports on the development of new tools and systems, or empirical and experimental contributions with high impact and innovative applications. The journal particularly emphasizes contributions to sensor network system methodologies and foundational research.

《ACM Transactions on Sensor Networks》是ACM在传感器网络跨学科领域的重要出版物，涵盖信号处理、网络与协议、嵌入式系统、信息管理以及分布式算法等多个学科。期刊接受关于新概念、技术、分析或架构的研究贡献，以及新工具和系统开发的报告，或具有高影响力和创新应用的经验和实验贡献。特别关注对传感器网络系统方法的贡献及其基本研究。

Category	Quartile
计算机科学	4
计算机科学, 计算机信息系统	4
计算机科学, 电信学	4

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

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