Challenges and applications for hand gesture recognition:
Challenges and applications for hand gesture recognition highlights the state-of-the-art practices of HGR research and discusses key areas such as challenges, opportunities, and future directions. Covering a range of topics such as wearable sensors and hand kinematics, this critical reference source...
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2022
|
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-898 DE-1049 DE-91 DE-706 DE-83 URL des Erstveröffentlichers |
| Zusammenfassung: | Challenges and applications for hand gesture recognition highlights the state-of-the-art practices of HGR research and discusses key areas such as challenges, opportunities, and future directions. Covering a range of topics such as wearable sensors and hand kinematics, this critical reference source is ideal for researchers, academicians, scholars, industry professionals, engineers, instructors, and students |
| Beschreibung: | Includes bibliographical references and index Chapter 1. Skin-colour-based hand segmentation techniques -- Chapter 2. Hand gesture recognition through depth sensors -- Chapter 3. Hand gesture recognition: the road ahead -- Chapter 4. IoT-based wearable sensors: hand gesture recognition -- Chapter 5. Recent advancements in design and implementation of automated sign language recognition systems -- Chapter 6. Hidden Markov model for gesture recognition -- Chapter 7. A six-stream CNN fusion-based human activity recognition on RGBD data: a novel framework -- Chapter 8. Multi-input CNN-LSTM for end-to-end Indian sign language recognition: a use case with wearable sensors -- Chapter 9. Lightweight convnet model for american sign language hand gesture recognition -- Chapter 10. Applications of hand gesture recognition -- Chapter 11. Application of HGR rock-paper-scissors model. - Mode of access: World Wide Web |
| Beschreibung: | 1 Online-Ressource (249 Seiten) |
| ISBN: | 9781799894360 |
| DOI: | 10.4018/978-1-7998-9434-6 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV048240237 | ||
| 003 | DE-604 | ||
| 005 | 20220728 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 220524s2022 |||| o||u| ||||||eng d | ||
| 020 | |a 9781799894360 |9 978-1-79989-436-0 | ||
| 024 | 7 | |a 10.4018/978-1-7998-9434-6 |2 doi | |
| 035 | |a (ZDB-98-IGB)00277793 | ||
| 035 | |a (OCoLC)1322807688 | ||
| 035 | |a (DE-599)BVBBV048240237 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-91 |a DE-898 |a DE-706 |a DE-1050 |a DE-1049 |a DE-83 | ||
| 082 | 0 | |a 006.4 | |
| 245 | 1 | 0 | |a Challenges and applications for hand gesture recognition |c edited by Lalit Kane, Bhupesh Kumar Dewangan and Tanupriya Choudhury |
| 264 | 1 | |a Hershey, Pennsylvania |b IGI Global |c 2022 | |
| 300 | |a 1 Online-Ressource (249 Seiten) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a Includes bibliographical references and index | ||
| 500 | |a Chapter 1. Skin-colour-based hand segmentation techniques -- Chapter 2. Hand gesture recognition through depth sensors -- Chapter 3. Hand gesture recognition: the road ahead -- Chapter 4. IoT-based wearable sensors: hand gesture recognition -- Chapter 5. Recent advancements in design and implementation of automated sign language recognition systems -- Chapter 6. Hidden Markov model for gesture recognition -- Chapter 7. A six-stream CNN fusion-based human activity recognition on RGBD data: a novel framework -- Chapter 8. Multi-input CNN-LSTM for end-to-end Indian sign language recognition: a use case with wearable sensors -- Chapter 9. Lightweight convnet model for american sign language hand gesture recognition -- Chapter 10. Applications of hand gesture recognition -- Chapter 11. Application of HGR rock-paper-scissors model. - Mode of access: World Wide Web | ||
| 520 | |a Challenges and applications for hand gesture recognition highlights the state-of-the-art practices of HGR research and discusses key areas such as challenges, opportunities, and future directions. Covering a range of topics such as wearable sensors and hand kinematics, this critical reference source is ideal for researchers, academicians, scholars, industry professionals, engineers, instructors, and students | ||
| 650 | 4 | |a Computer vision | |
| 700 | 1 | |a Choudhury, Tanupriya |4 edt | |
| 700 | 1 | |a Dewangan, Bhupesh |4 edt | |
| 700 | 1 | |a Kane, Lalit |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781799894346 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781799894353 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 1799894355 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 1799894347 |
| 856 | 4 | 0 | |u https://doi.org/10.4018/978-1-7998-9434-6 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
| 912 | |a ZDB-98-IGB |a ZDB-1-IGE | ||
| 966 | e | |u https://doi.org/10.4018/978-1-7998-9434-6 |l DE-1050 |p ZDB-1-IGE |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4018/978-1-7998-9434-6 |l DE-898 |p ZDB-1-IGE |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4018/978-1-7998-9434-6 |l DE-1049 |p ZDB-1-IGE |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4018/978-1-7998-9434-6 |l DE-91 |p ZDB-98-IGB |q TUM_Paketkauf |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4018/978-1-7998-9434-6 |l DE-706 |p ZDB-1-IGE |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.4018/978-1-7998-9434-6 |l DE-83 |p ZDB-98-IGB |q TUB_EBS_IGB |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1805079040738983936 |
|---|---|
| adam_text | |
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author2 | Choudhury, Tanupriya Dewangan, Bhupesh Kane, Lalit |
| author2_role | edt edt edt |
| author2_variant | t c tc b d bd l k lk |
| author_facet | Choudhury, Tanupriya Dewangan, Bhupesh Kane, Lalit |
| building | Verbundindex |
| bvnumber | BV048240237 |
| collection | ZDB-98-IGB ZDB-1-IGE |
| ctrlnum | (ZDB-98-IGB)00277793 (OCoLC)1322807688 (DE-599)BVBBV048240237 |
| dewey-full | 006.4 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
| dewey-raw | 006.4 |
| dewey-search | 006.4 |
| dewey-sort | 16.4 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.4018/978-1-7998-9434-6 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nmm a2200000zc 4500</leader><controlfield tag="001">BV048240237</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20220728</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">220524s2022 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781799894360</subfield><subfield code="9">978-1-79989-436-0</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.4018/978-1-7998-9434-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-98-IGB)00277793</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1322807688</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048240237</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-1050</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">006.4</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Challenges and applications for hand gesture recognition</subfield><subfield code="c">edited by Lalit Kane, Bhupesh Kumar Dewangan and Tanupriya Choudhury</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Hershey, Pennsylvania</subfield><subfield code="b">IGI Global</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (249 Seiten)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references and index</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Chapter 1. Skin-colour-based hand segmentation techniques -- Chapter 2. Hand gesture recognition through depth sensors -- Chapter 3. Hand gesture recognition: the road ahead -- Chapter 4. IoT-based wearable sensors: hand gesture recognition -- Chapter 5. Recent advancements in design and implementation of automated sign language recognition systems -- Chapter 6. Hidden Markov model for gesture recognition -- Chapter 7. A six-stream CNN fusion-based human activity recognition on RGBD data: a novel framework -- Chapter 8. Multi-input CNN-LSTM for end-to-end Indian sign language recognition: a use case with wearable sensors -- Chapter 9. Lightweight convnet model for american sign language hand gesture recognition -- Chapter 10. Applications of hand gesture recognition -- Chapter 11. Application of HGR rock-paper-scissors model. - Mode of access: World Wide Web</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Challenges and applications for hand gesture recognition highlights the state-of-the-art practices of HGR research and discusses key areas such as challenges, opportunities, and future directions. Covering a range of topics such as wearable sensors and hand kinematics, this critical reference source is ideal for researchers, academicians, scholars, industry professionals, engineers, instructors, and students</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer vision</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Choudhury, Tanupriya</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dewangan, Bhupesh</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kane, Lalit</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781799894346</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781799894353</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">1799894355</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">1799894347</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.4018/978-1-7998-9434-6</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-98-IGB</subfield><subfield code="a">ZDB-1-IGE</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/978-1-7998-9434-6</subfield><subfield code="l">DE-1050</subfield><subfield code="p">ZDB-1-IGE</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/978-1-7998-9434-6</subfield><subfield code="l">DE-898</subfield><subfield code="p">ZDB-1-IGE</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/978-1-7998-9434-6</subfield><subfield code="l">DE-1049</subfield><subfield code="p">ZDB-1-IGE</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/978-1-7998-9434-6</subfield><subfield code="l">DE-91</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">TUM_Paketkauf</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/978-1-7998-9434-6</subfield><subfield code="l">DE-706</subfield><subfield code="p">ZDB-1-IGE</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.4018/978-1-7998-9434-6</subfield><subfield code="l">DE-83</subfield><subfield code="p">ZDB-98-IGB</subfield><subfield code="q">TUB_EBS_IGB</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV048240237 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T19:53:58Z |
| indexdate | 2024-07-20T06:38:40Z |
| institution | BVB |
| isbn | 9781799894360 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033620744 |
| oclc_num | 1322807688 |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-706 DE-1050 DE-1049 DE-83 |
| owner_facet | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-706 DE-1050 DE-1049 DE-83 |
| physical | 1 Online-Ressource (249 Seiten) |
| psigel | ZDB-98-IGB ZDB-1-IGE ZDB-98-IGB TUM_Paketkauf ZDB-98-IGB TUB_EBS_IGB |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| publisher | IGI Global |
| record_format | marc |
| spelling | Challenges and applications for hand gesture recognition edited by Lalit Kane, Bhupesh Kumar Dewangan and Tanupriya Choudhury Hershey, Pennsylvania IGI Global 2022 1 Online-Ressource (249 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index Chapter 1. Skin-colour-based hand segmentation techniques -- Chapter 2. Hand gesture recognition through depth sensors -- Chapter 3. Hand gesture recognition: the road ahead -- Chapter 4. IoT-based wearable sensors: hand gesture recognition -- Chapter 5. Recent advancements in design and implementation of automated sign language recognition systems -- Chapter 6. Hidden Markov model for gesture recognition -- Chapter 7. A six-stream CNN fusion-based human activity recognition on RGBD data: a novel framework -- Chapter 8. Multi-input CNN-LSTM for end-to-end Indian sign language recognition: a use case with wearable sensors -- Chapter 9. Lightweight convnet model for american sign language hand gesture recognition -- Chapter 10. Applications of hand gesture recognition -- Chapter 11. Application of HGR rock-paper-scissors model. - Mode of access: World Wide Web Challenges and applications for hand gesture recognition highlights the state-of-the-art practices of HGR research and discusses key areas such as challenges, opportunities, and future directions. Covering a range of topics such as wearable sensors and hand kinematics, this critical reference source is ideal for researchers, academicians, scholars, industry professionals, engineers, instructors, and students Computer vision Choudhury, Tanupriya edt Dewangan, Bhupesh edt Kane, Lalit edt Erscheint auch als Druck-Ausgabe 9781799894346 Erscheint auch als Druck-Ausgabe 9781799894353 Erscheint auch als Druck-Ausgabe 1799894355 Erscheint auch als Druck-Ausgabe 1799894347 https://doi.org/10.4018/978-1-7998-9434-6 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Challenges and applications for hand gesture recognition Computer vision |
| title | Challenges and applications for hand gesture recognition |
| title_auth | Challenges and applications for hand gesture recognition |
| title_exact_search | Challenges and applications for hand gesture recognition |
| title_exact_search_txtP | Challenges and applications for hand gesture recognition |
| title_full | Challenges and applications for hand gesture recognition edited by Lalit Kane, Bhupesh Kumar Dewangan and Tanupriya Choudhury |
| title_fullStr | Challenges and applications for hand gesture recognition edited by Lalit Kane, Bhupesh Kumar Dewangan and Tanupriya Choudhury |
| title_full_unstemmed | Challenges and applications for hand gesture recognition edited by Lalit Kane, Bhupesh Kumar Dewangan and Tanupriya Choudhury |
| title_short | Challenges and applications for hand gesture recognition |
| title_sort | challenges and applications for hand gesture recognition |
| topic | Computer vision |
| topic_facet | Computer vision |
| url | https://doi.org/10.4018/978-1-7998-9434-6 |
| work_keys_str_mv | AT choudhurytanupriya challengesandapplicationsforhandgesturerecognition AT dewanganbhupesh challengesandapplicationsforhandgesturerecognition AT kanelalit challengesandapplicationsforhandgesturerecognition |