Advancements in Visual Gesture Recognition for Underwater Human–Robot Interaction: A Comprehensive Review
Underwater human-robot interaction (U-HRI) demonstrates a significant potential for enhancing collaboration in challenging underwater tasks such as inspection, maintenance and exploration. Such collaboration demands effective communication. Recent advancements in underwater technology have facilitat...
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IEEE
2024-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10744047/ |
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| author | Stanislaw Hozyn |
| author_facet | Stanislaw Hozyn |
| author_sort | Stanislaw Hozyn |
| collection | DOAJ |
| description | Underwater human-robot interaction (U-HRI) demonstrates a significant potential for enhancing collaboration in challenging underwater tasks such as inspection, maintenance and exploration. Such collaboration demands effective communication. Recent advancements in underwater technology have facilitated the development of cutting-edge autonomous underwater vehicles (AUVs) and sensors. Nevertheless, effective communication remains challenging underwater due to electromagnetic wave attenuation and limited wireless options. As a result, researchers have increasingly focused on visual gesture recognition. This focus is driven by advances in visual sensors and more sophisticated computer vision algorithms. This paper reviews recent progress in deploying visual gesture recognition for U-HRI, leveraging mainly deep learning algorithms to improve communication reliability and efficiency. The main objective is to identify the most promising techniques for practical applications, ultimately enhancing the efficiency and reliability of diver-AUV collaboration. |
| format | Article |
| id | doaj-art-d85dde115dc64091ae47a93294b2eaed |
| institution | OA Journals |
| issn | 2169-3536 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-d85dde115dc64091ae47a93294b2eaed2025-08-20T02:13:52ZengIEEEIEEE Access2169-35362024-01-011216313116314210.1109/ACCESS.2024.349190010744047Advancements in Visual Gesture Recognition for Underwater Human–Robot Interaction: A Comprehensive ReviewStanislaw Hozyn0https://orcid.org/0000-0003-1422-0330Faculty of Mechanical and Electrical Engineering, Polish Naval Academy, Gdynia, PolandUnderwater human-robot interaction (U-HRI) demonstrates a significant potential for enhancing collaboration in challenging underwater tasks such as inspection, maintenance and exploration. Such collaboration demands effective communication. Recent advancements in underwater technology have facilitated the development of cutting-edge autonomous underwater vehicles (AUVs) and sensors. Nevertheless, effective communication remains challenging underwater due to electromagnetic wave attenuation and limited wireless options. As a result, researchers have increasingly focused on visual gesture recognition. This focus is driven by advances in visual sensors and more sophisticated computer vision algorithms. This paper reviews recent progress in deploying visual gesture recognition for U-HRI, leveraging mainly deep learning algorithms to improve communication reliability and efficiency. The main objective is to identify the most promising techniques for practical applications, ultimately enhancing the efficiency and reliability of diver-AUV collaboration.https://ieeexplore.ieee.org/document/10744047/Autonomous underwater vehicleshuman-machine systemsdiver detectiondiver recognitionvisual gesture recognitionunderwater human-robot cooperation |
| spellingShingle | Stanislaw Hozyn Advancements in Visual Gesture Recognition for Underwater Human–Robot Interaction: A Comprehensive Review IEEE Access Autonomous underwater vehicles human-machine systems diver detection diver recognition visual gesture recognition underwater human-robot cooperation |
| title | Advancements in Visual Gesture Recognition for Underwater Human–Robot Interaction: A Comprehensive Review |
| title_full | Advancements in Visual Gesture Recognition for Underwater Human–Robot Interaction: A Comprehensive Review |
| title_fullStr | Advancements in Visual Gesture Recognition for Underwater Human–Robot Interaction: A Comprehensive Review |
| title_full_unstemmed | Advancements in Visual Gesture Recognition for Underwater Human–Robot Interaction: A Comprehensive Review |
| title_short | Advancements in Visual Gesture Recognition for Underwater Human–Robot Interaction: A Comprehensive Review |
| title_sort | advancements in visual gesture recognition for underwater human x2013 robot interaction a comprehensive review |
| topic | Autonomous underwater vehicles human-machine systems diver detection diver recognition visual gesture recognition underwater human-robot cooperation |
| url | https://ieeexplore.ieee.org/document/10744047/ |
| work_keys_str_mv | AT stanislawhozyn advancementsinvisualgesturerecognitionforunderwaterhumanx2013robotinteractionacomprehensivereview |