Implementation of Hand Gesture Recognition Device Applicable to Smart Watch Based on Flexible Epidermal Tactile Sensor Array
Ever since the development of digital devices, the recognition of human gestures has played an important role in many Human-Computer interface applications. Various wearable devices have been developed, and inertial sensors, magnetic sensors, gyro sensors, electromyography, force-sensitive resistors...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-10-01
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| Series: | Micromachines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2072-666X/10/10/692 |
| _version_ | 1819126316415320064 |
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| author | Sung-Woo Byun Seok-Pil Lee |
| author_facet | Sung-Woo Byun Seok-Pil Lee |
| author_sort | Sung-Woo Byun |
| collection | DOAJ |
| description | Ever since the development of digital devices, the recognition of human gestures has played an important role in many Human-Computer interface applications. Various wearable devices have been developed, and inertial sensors, magnetic sensors, gyro sensors, electromyography, force-sensitive resistors, and other types of sensors have been used to identify gestures. However, there are different drawbacks for each sensor, which affect the detection of gestures. In this paper, we present a new gesture recognition method using a Flexible Epidermal Tactile Sensor based on strain gauges to sense deformation. Such deformations are transduced to electric signals. By measuring the electric signals, the sensor can estimate the degree of deformation, including compression, tension, and twist, caused by movements of the wrist. The proposed sensor array was demonstrated to be capable of analyzing the eight motions of the wrist, and showed robustness, stability, and repeatability throughout a range of experiments aimed at testing the sensor array. We compared the performance of the prototype device with those of previous studies, under the same experimental conditions. The result shows our recognition method significantly outperformed existing methods. |
| first_indexed | 2024-12-22T07:54:06Z |
| format | Article |
| id | doaj.art-065240fe12124d5e89ad28880e68eada |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-12-22T07:54:06Z |
| publishDate | 2019-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-065240fe12124d5e89ad28880e68eada2022-12-21T18:33:24ZengMDPI AGMicromachines2072-666X2019-10-01101069210.3390/mi10100692mi10100692Implementation of Hand Gesture Recognition Device Applicable to Smart Watch Based on Flexible Epidermal Tactile Sensor ArraySung-Woo Byun0Seok-Pil Lee1Department of Computer Science, Graduate School, SangMyung University, 20, Hongjimun 2-gil, Jongno-gu, Seoul 03016, KoreaDepartment of Electronic Engineering, SangMyung University, 20, Hongjimun 2-gil, Jongno-gu, Seoul 03016, KoreaEver since the development of digital devices, the recognition of human gestures has played an important role in many Human-Computer interface applications. Various wearable devices have been developed, and inertial sensors, magnetic sensors, gyro sensors, electromyography, force-sensitive resistors, and other types of sensors have been used to identify gestures. However, there are different drawbacks for each sensor, which affect the detection of gestures. In this paper, we present a new gesture recognition method using a Flexible Epidermal Tactile Sensor based on strain gauges to sense deformation. Such deformations are transduced to electric signals. By measuring the electric signals, the sensor can estimate the degree of deformation, including compression, tension, and twist, caused by movements of the wrist. The proposed sensor array was demonstrated to be capable of analyzing the eight motions of the wrist, and showed robustness, stability, and repeatability throughout a range of experiments aimed at testing the sensor array. We compared the performance of the prototype device with those of previous studies, under the same experimental conditions. The result shows our recognition method significantly outperformed existing methods.https://www.mdpi.com/2072-666X/10/10/692gesture recognitionflexible epidermal tactile sensor arraywearable devicewearable sensors |
| spellingShingle | Sung-Woo Byun Seok-Pil Lee Implementation of Hand Gesture Recognition Device Applicable to Smart Watch Based on Flexible Epidermal Tactile Sensor Array Micromachines gesture recognition flexible epidermal tactile sensor array wearable device wearable sensors |
| title | Implementation of Hand Gesture Recognition Device Applicable to Smart Watch Based on Flexible Epidermal Tactile Sensor Array |
| title_full | Implementation of Hand Gesture Recognition Device Applicable to Smart Watch Based on Flexible Epidermal Tactile Sensor Array |
| title_fullStr | Implementation of Hand Gesture Recognition Device Applicable to Smart Watch Based on Flexible Epidermal Tactile Sensor Array |
| title_full_unstemmed | Implementation of Hand Gesture Recognition Device Applicable to Smart Watch Based on Flexible Epidermal Tactile Sensor Array |
| title_short | Implementation of Hand Gesture Recognition Device Applicable to Smart Watch Based on Flexible Epidermal Tactile Sensor Array |
| title_sort | implementation of hand gesture recognition device applicable to smart watch based on flexible epidermal tactile sensor array |
| topic | gesture recognition flexible epidermal tactile sensor array wearable device wearable sensors |
| url | https://www.mdpi.com/2072-666X/10/10/692 |
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