2019
DOI: 10.18494/sam.2019.2261
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Natural Hand Gesture Recognition with an Electronic Textile Goniometer

Abstract: Gesture recognition allows distinguishing specific user motions that intend to express a message. The recognized gestures can be used in various applications such as humancomputer interface (HCI), clinical practice including rehabilitation, and personal identification. We propose a method of recognizing upper-limb motion gestures for HCI using electronic textile sensors, which consist of a double-layered structure with complementary resistance characteristics. For gesture recognition, we apply dynamic time war… Show more

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Cited by 5 publications
(13 citation statements)
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References 12 publications
(38 reference statements)
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“…On the basis of real-time recognition, alarms are issued for dangerous fall movements and abnormal physiological signals in different motion states. Han et al (9) proposed a method of recognizing upper-limb motion gestures for a human-computer interface (HCI) using electronic textile sensors, which consist of a double-layered structure with complementary resistance characteristics. Huang et al (10) designed a wearable wrist goniometer (WWG) composed of an Arduino Nano and two GY-521 accelerometer-gyroscopes.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…On the basis of real-time recognition, alarms are issued for dangerous fall movements and abnormal physiological signals in different motion states. Han et al (9) proposed a method of recognizing upper-limb motion gestures for a human-computer interface (HCI) using electronic textile sensors, which consist of a double-layered structure with complementary resistance characteristics. Huang et al (10) designed a wearable wrist goniometer (WWG) composed of an Arduino Nano and two GY-521 accelerometer-gyroscopes.…”
Section: Introductionmentioning
confidence: 99%
“…According to the above references, an acceleration sensor can identify movement state information, (11) and two acceleration sensors can achieve accurate monitoring of wrist movements. (9,10,12) Therefore, to solve the problem of inaccurate monitoring of sports equipment, we have designed an intelligent dumbbell as fitness equipment that incorporates film pressure sensor technology, acceleration sensor technology, a Bluetooth wireless communication module, and an Arduino MEGA 2560 control system. Dumbbells have the advantages of occupying a small space, are easy to use, and have fixed movements, making it easy to implement intelligent monitoring.…”
Section: Introductionmentioning
confidence: 99%
“…Gesture recognition technology involves interpreting a user's gestures on the basis of the flexion and extension of fingers, elbows, and knees, and their interaction with objects. Gesture recognition has several applications, including human-computer interface (HCI), (1)(2)(3)(4)(5)(6)(7) medicine, (8)(9)(10)(11) and virtual reality. (12) Various sensors such as magnetometers, accelerometers, and gyroscopes are used for gesture recognition.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, e-textile sensors that show resistive characteristics while maintaining the lightness, flexibility, and stretch ability of textiles have been applied to gesture recognition. (6)(7)(8)(9)(10)(11)(12) e-textile sensors detect biological signals and joint motions without compromising comfort. Gesture recognition based on e-textile uses the changes in electrical properties according to the flexion and extension of joints during gesture motions.…”
Section: Introductionmentioning
confidence: 99%
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