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AiRite: infrastructure-free cursive writing and drawing in air using smart devices

Published: 09 September 2019 Publication History

Abstract

Inertial sensors have been used for tracking applications on every scale for decades. Commercial IMUs suffer from a spectrum of errors such as axes misalignment, bias etc. leading to a drifted output. Approximation models are usually implemented to address these issues which are highly sensor-dependent with constrained testing and sometimes use complementary infrastructure which limits their use in the wild. In this demonstration we introduce 'AiRite', an effective solution for 3-D tracking of a smart device using only the onboard IMU. Trajectories of basic shapes and cursive words written in air using smart devices are visualized in 3-D, which are first observations of their kind in the field. We demonstrate device-independence and ubiquity of our tracking method by using different smartphones and smart-watches for writing in air.

References

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Christoph Amma, Marcus Georgi, and Tanja Schultz. 2012. Airwriting: Hands-free mobile text input by spotting and continuous recognition of 3D-space handwriting with inertial sensors. In Wearable Computers (ISWC), 2012 16th International Symposium on. IEEE, 52--59.
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Vivek Chandel and Avik Ghose. 2018. Emeasure: Using a Smart Device with Consumer-grade Accelerometer As an Accurate Measuring Scale: Demo Abstract. In Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN '18). IEEE Press, Piscataway, NJ, USA, 114--115.
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Mingyu Chen, Ghassan AlRegib, and Biing-Hwang Juang. 2015. Air-writing recognition - Part I: Modeling and recognition of characters, words, and connecting motions. IEEE Transactions on Human-Machine Systems 46, 3 (2015), 403--413.
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Jian S Dai. 2015. Euler-Rodrigues formula variations, quaternion conjugation and intrinsic connections. Mechanism and Machine Theory 92 (2015), 144--152.
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Bing Zhou, Mohammed Elbadry, Ruipeng Gao, and Fan Ye. 2017. Bat-Tracker: high precision infrastructure-free mobile device tracking in indoor environments. In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems. ACM, 13.

Cited By

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  • (2020)AiRite: Towards Accurate & Infrastructure-Free 3-D Tracking of Smart Devices2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PerComWorkshops48775.2020.9156072(1-6)Online publication date: Mar-2020

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cover image ACM Conferences
UbiComp/ISWC '19 Adjunct: Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers
September 2019
1234 pages
ISBN:9781450368698
DOI:10.1145/3341162
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 September 2019

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UbiComp '19

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Overall Acceptance Rate 764 of 2,912 submissions, 26%

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  • (2020)AiRite: Towards Accurate & Infrastructure-Free 3-D Tracking of Smart Devices2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)10.1109/PerComWorkshops48775.2020.9156072(1-6)Online publication date: Mar-2020

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