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Device-Free Handwritten Character Recognition Method Using Acoustic Signal

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Title: Device-Free Handwritten Character Recognition Method Using Acoustic Signal
Authors: Ogura, Atsushi Browse this author
Watanabe, Hiroki Browse this author →KAKEN DB
Sugimoto, Masanori Browse this author →KAKEN DB
Keywords: handwritten character recognition
ultrasonic wave
acoustic signal
phase analysis
mobile computing
Issue Date: 20-Oct-2021
Publisher: 富士技術出版
Journal Title: Journal of robotics and mechatronics
Volume: 33
Issue: 5
Start Page: 1082
End Page: 1095
Publisher DOI: 10.20965/jrm.2021.p1082
Abstract: In this paper, we propose a method for recognizing handwritten characters by a finger using acoustic signals. This method is carried out using a smartphone placed on a flat surface, such as a desk. Specifically, this method uses an ultrasonic wave transmitted from the smartphone, which is reflected by the finger, and an audible sound is generated when writing a handwritten character. The proposed method does not require an additional device for handwritten character recognition because it uses the microphone/speaker built into the device. Evaluation results showed that it was able to recognize 36 types of characters with an average accuracy of 77.8% in a low noise environment for 10 subjects. In addition, it was verified that combining an audible sound and an ultrasonic wave in this method achieved higher recognition accuracy than when only an audible sound or an ultrasonic wave was used.
Type: article
URI: http://hdl.handle.net/2115/83833
Appears in Collections:国際連携研究教育局 : GI-CoRE (Global Institution for Collaborative Research and Education : GI-CoRE) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

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