Wearable Inertial Sensor-Based Hand-Guiding Gestures Recognition Method Robust to Significant Changes in the Body-Alignment of Subject

Haneul Jeon, Haegyeom Choi, Donghyeon Noh, Taeho Kim and Donghun Lee ()
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Haneul Jeon: Mechanical Engineering Department, Soongsil University, Seoul 06978, Republic of Korea
Haegyeom Choi: Mechanical Engineering Department, Soongsil University, Seoul 06978, Republic of Korea
Donghyeon Noh: Mechanical Engineering Department, Soongsil University, Seoul 06978, Republic of Korea
Taeho Kim: Mechanical Engineering Department, Soongsil University, Seoul 06978, Republic of Korea
Donghun Lee: Mechanical Engineering Department, Soongsil University, Seoul 06978, Republic of Korea

Mathematics, 2022, vol. 10, issue 24, 1-13

Abstract: The accuracy of the wearable inertia-measurement-unit (IMU)-sensor-based gesture recognition may be significantly affected by undesired changes in the body-fixed frame and the sensor-fixed frame according to the change in the subject and the sensor attachment. In this study, we proposed a novel wearable IMU-sensor-based hand-guiding gesture recognition method robust to significant changes in the subject’s body alignment based on the floating body-fixed frame method and the bi-directional long short-term memory (bi-LSTM). Through comparative experimental studies with the other two methods, it was confirmed that aligning the sensor-fixed frame with the reference frame of the human body and updating the reference frame according to the change in the subject’s body-heading direction helped improve the generalization performance of the gesture recognition model. As a result, the proposed floating body-fixed frame method showed a 91.7% test accuracy, confirming that it was appropriate for gesture recognition under significant changes in the subject’s body alignment during gestures.

Keywords: gesture recognition; bi-directional LSTM; wearable sensor; biomechanics; hand-guiding gesture (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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