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Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 34, Number 8(1) (2022)
Copyright(C) MYU K.K.
pp. 3001-3015
S&M3019 Research Paper of Special Issue
https://doi.org/10.18494/SAM3938
Published: August 2, 2022

High-F1-score Recognition of Input Gestures while Holding Smartphone by Reducing False Detection Due to Walking Noise [PDF]

Ryo Katsuma and Tomoaki Amiya

(Received April 10, 2022; Accepted July 4, 2022)

Keywords: gesture recognition, walking noise, accelerometer, holding smartphone

Gesture input using the acceleration sensor of a smartphone is a promising new input method. The target input gestures in this paper are movements of a user’s hand holding a smartphone. However, if parameter tuning is performed to improve the recognition accuracy of input gestures while stationary, erroneous detection at the start of walking will increase. On the other hand, if parameter tuning is performed to reduce false detection at the start of walking, the recognition accuracy of input gestures while stationary is lowered. Thus, there is a trade-off problem. In this paper, we propose a gesture recognition method to reduce erroneous recognition by combining a gesture detection method that uses similarity based on dynamic time warping (DTW) (TD) and a gesture classification method that also includes walking data as a candidate (CD). We conducted evaluation experiments with nine subjects. As a result, we confirmed that false detection at the start of walking can be eliminated using the proposed method. By verification using t-test, we confirmed that the F1-score of the proposed method was significantly higher than that of CD.

Corresponding author: Ryo Katsuma


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Cite this article
Ryo Katsuma and Tomoaki Amiya, High-F1-score Recognition of Input Gestures while Holding Smartphone by Reducing False Detection Due to Walking Noise, Sens. Mater., Vol. 34, No. 8, 2022, p. 3001-3015.



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