Sensor Systems for Gesture Recognition II
This second Special Issue was compiled because of the interest demonstrated by the great success of the first Special Issue devoted to "Sensor Systems for Gesture Recognition".We believe this reprint acts as a meaningful window towards "Gesture Recognition" and the related sensor...
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| description | This second Special Issue was compiled because of the interest demonstrated by the great success of the first Special Issue devoted to "Sensor Systems for Gesture Recognition".We believe this reprint acts as a meaningful window towards "Gesture Recognition" and the related sensors allowing the gathering of necessary data. |
| doi_str_mv | 10.3390/books978-3-0365-8546-8 |
| format | Book |
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Issue was compiled because of the interest demonstrated by the great success of the first Special Issue devoted to "Sensor Systems for Gesture Recognition".We believe this reprint acts as a meaningful window towards "Gesture Recognition" and the related sensors allowing the gathering of necessary data.</description><identifier>ISBN: 9783036585468</identifier><identifier>ISBN: 3036585478</identifier><identifier>ISBN: 9783036585475</identifier><identifier>ISBN: 303658546X</identifier><identifier>DOI: 10.3390/books978-3-0365-8546-8</identifier><language>eng</language><publisher>MDPI - Multidisciplinary Digital Publishing Institute</publisher><subject>abnormal gait behavior ; adaptive interactive game ; artificial neural network ; background clutter ; biomedical engineering ; computer vision ; data glove ; dataset ; deep learning ; deep Q-network ; electromyography ; emotion driven ; emotion judgment system ; ensemble learning ; extreme learning machine ; football ; force myography ; forearm amputee ; frequency emphasis ; general movements ; gloss prediction ; grasshopper optimization algorithm ; hand gesture recognition ; hand posture ; History of engineering and technology ; horse locomotion ; human activity recognition ; human-computer interactive ; IMU ; inertial measurement unit ; inertial measurement units ; infant movement analysis ; k-tournament selection ; machine learning ; MARG ; markerless ; MIMU ; motion analysis ; movement disorders ; multi-modal ; OpenPose ; orientation algorithm benchmarking ; orientation estimation ; pattern recognition ; pose estimation ; pose-based approach ; random forest ; reinforcement learning ; RGB-D ; sensor ; sensor fusion algorithm ; set of optimal signal features ; Siamese tracker ; sign language recognition ; sports technology ; surface electromyography ; surgical education ; surgical skills assessment ; Technology, Engineering, Agriculture, Industrial processes ; Technology: general issues ; test ; tracking drift ; training effect ; trajectory reconstruction ; transformer ; virtual hand ; visual feedback training ; visual tracking ; XGBoost</subject><creationdate>2023</creationdate><tpages>254</tpages><format>254</format><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>306,776,780,782,27904,55288</link.rule.ids></links><search><contributor>Saggio, Giovanni</contributor><title>Sensor Systems for Gesture Recognition II</title><description>This second Special Issue was compiled because of the interest demonstrated by the great success of the first Special Issue devoted to "Sensor Systems for Gesture Recognition".We believe this reprint acts as a meaningful window towards "Gesture Recognition" and the related sensors allowing the gathering of necessary data.</description><subject>abnormal gait behavior</subject><subject>adaptive interactive game</subject><subject>artificial neural network</subject><subject>background clutter</subject><subject>biomedical engineering</subject><subject>computer vision</subject><subject>data glove</subject><subject>dataset</subject><subject>deep learning</subject><subject>deep Q-network</subject><subject>electromyography</subject><subject>emotion driven</subject><subject>emotion judgment system</subject><subject>ensemble learning</subject><subject>extreme learning machine</subject><subject>football</subject><subject>force myography</subject><subject>forearm amputee</subject><subject>frequency emphasis</subject><subject>general movements</subject><subject>gloss prediction</subject><subject>grasshopper optimization algorithm</subject><subject>hand gesture recognition</subject><subject>hand posture</subject><subject>History of engineering and technology</subject><subject>horse locomotion</subject><subject>human activity recognition</subject><subject>human-computer interactive</subject><subject>IMU</subject><subject>inertial measurement unit</subject><subject>inertial measurement units</subject><subject>infant movement analysis</subject><subject>k-tournament selection</subject><subject>machine learning</subject><subject>MARG</subject><subject>markerless</subject><subject>MIMU</subject><subject>motion analysis</subject><subject>movement disorders</subject><subject>multi-modal</subject><subject>OpenPose</subject><subject>orientation algorithm benchmarking</subject><subject>orientation estimation</subject><subject>pattern recognition</subject><subject>pose estimation</subject><subject>pose-based approach</subject><subject>random forest</subject><subject>reinforcement learning</subject><subject>RGB-D</subject><subject>sensor</subject><subject>sensor fusion algorithm</subject><subject>set of optimal signal features</subject><subject>Siamese tracker</subject><subject>sign language recognition</subject><subject>sports technology</subject><subject>surface electromyography</subject><subject>surgical education</subject><subject>surgical skills assessment</subject><subject>Technology, Engineering, Agriculture, Industrial processes</subject><subject>Technology: general issues</subject><subject>test</subject><subject>tracking drift</subject><subject>training effect</subject><subject>trajectory reconstruction</subject><subject>transformer</subject><subject>virtual hand</subject><subject>visual feedback training</subject><subject>visual tracking</subject><subject>XGBoost</subject><isbn>9783036585468</isbn><isbn>3036585478</isbn><isbn>9783036585475</isbn><isbn>303658546X</isbn><fulltext>true</fulltext><rsrctype>book</rsrctype><creationdate>2023</creationdate><recordtype>book</recordtype><sourceid>V1H</sourceid><recordid>eNotz81KAzEUBeCACEqdNygyWxfRm7mT5GYpRetAQbB2XTLJTak_E2nGhW_v1Lo6h29x4AhxreAW0cFdn_N7cZYkSkCjJenWSDoT1WR4lCPQhahKeQMAbNA4h5fiZs1DyYd6_VNG_ix1mvqSy_h94PqFQ94N-3Gfh7rrrsR58h-Fq_-cic3jw-viSa6el93ifiV3yrYgvcWUTBMAom2RfLAxkdIJe4jcECIYbZSzfQMBNEWHcUJUvucQgtc4E_PTbvZfPGxj9n_ftkohkcFf7YJBkw</recordid><startdate>2023</startdate><enddate>2023</enddate><general>MDPI - Multidisciplinary Digital Publishing Institute</general><scope>V1H</scope></search><sort><creationdate>2023</creationdate><title>Sensor Systems for Gesture Recognition II</title></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g1740-a73ff62c00d7438ac7df815f3b0de28330656197b20c058d93d83331abeccca53</frbrgroupid><rsrctype>books</rsrctype><prefilter>books</prefilter><language>eng</language><creationdate>2023</creationdate><topic>abnormal gait behavior</topic><topic>adaptive interactive game</topic><topic>artificial neural network</topic><topic>background clutter</topic><topic>biomedical engineering</topic><topic>computer vision</topic><topic>data glove</topic><topic>dataset</topic><topic>deep learning</topic><topic>deep Q-network</topic><topic>electromyography</topic><topic>emotion driven</topic><topic>emotion judgment system</topic><topic>ensemble learning</topic><topic>extreme learning machine</topic><topic>football</topic><topic>force myography</topic><topic>forearm amputee</topic><topic>frequency emphasis</topic><topic>general movements</topic><topic>gloss prediction</topic><topic>grasshopper optimization algorithm</topic><topic>hand gesture recognition</topic><topic>hand posture</topic><topic>History of engineering and technology</topic><topic>horse locomotion</topic><topic>human activity recognition</topic><topic>human-computer interactive</topic><topic>IMU</topic><topic>inertial measurement unit</topic><topic>inertial measurement units</topic><topic>infant movement analysis</topic><topic>k-tournament selection</topic><topic>machine learning</topic><topic>MARG</topic><topic>markerless</topic><topic>MIMU</topic><topic>motion analysis</topic><topic>movement disorders</topic><topic>multi-modal</topic><topic>OpenPose</topic><topic>orientation algorithm benchmarking</topic><topic>orientation estimation</topic><topic>pattern recognition</topic><topic>pose estimation</topic><topic>pose-based approach</topic><topic>random forest</topic><topic>reinforcement learning</topic><topic>RGB-D</topic><topic>sensor</topic><topic>sensor fusion algorithm</topic><topic>set of optimal signal features</topic><topic>Siamese tracker</topic><topic>sign language recognition</topic><topic>sports technology</topic><topic>surface electromyography</topic><topic>surgical education</topic><topic>surgical skills assessment</topic><topic>Technology, Engineering, Agriculture, Industrial processes</topic><topic>Technology: general issues</topic><topic>test</topic><topic>tracking drift</topic><topic>training effect</topic><topic>trajectory reconstruction</topic><topic>transformer</topic><topic>virtual hand</topic><topic>visual feedback training</topic><topic>visual tracking</topic><topic>XGBoost</topic><toplevel>online_resources</toplevel><collection>DOAB: Directory of Open Access Books</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Saggio, Giovanni</au><format>book</format><genre>book</genre><ristype>BOOK</ristype><btitle>Sensor Systems for Gesture Recognition II</btitle><date>2023</date><risdate>2023</risdate><isbn>9783036585468</isbn><isbn>3036585478</isbn><isbn>9783036585475</isbn><isbn>303658546X</isbn><abstract>This second Special Issue was compiled because of the interest demonstrated by the great success of the first Special Issue devoted to "Sensor Systems for Gesture Recognition".We believe this reprint acts as a meaningful window towards "Gesture Recognition" and the related sensors allowing the gathering of necessary data.</abstract><pub>MDPI - Multidisciplinary Digital Publishing Institute</pub><doi>10.3390/books978-3-0365-8546-8</doi><tpages>254</tpages><oa>free_for_read</oa></addata></record> |
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| source | DOAB: Directory of Open Access Books |
| subjects | abnormal gait behavior adaptive interactive game artificial neural network background clutter biomedical engineering computer vision data glove dataset deep learning deep Q-network electromyography emotion driven emotion judgment system ensemble learning extreme learning machine football force myography forearm amputee frequency emphasis general movements gloss prediction grasshopper optimization algorithm hand gesture recognition hand posture History of engineering and technology horse locomotion human activity recognition human-computer interactive IMU inertial measurement unit inertial measurement units infant movement analysis k-tournament selection machine learning MARG markerless MIMU motion analysis movement disorders multi-modal OpenPose orientation algorithm benchmarking orientation estimation pattern recognition pose estimation pose-based approach random forest reinforcement learning RGB-D sensor sensor fusion algorithm set of optimal signal features Siamese tracker sign language recognition sports technology surface electromyography surgical education surgical skills assessment Technology, Engineering, Agriculture, Industrial processes Technology: general issues test tracking drift training effect trajectory reconstruction transformer virtual hand visual feedback training visual tracking XGBoost |
| title | Sensor Systems for Gesture Recognition II |
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