Fabrication and characterization of highly sensitive flexible strain sensor based on biodegradable gelatin nanocomposites and double strain layered structures with crack for gesture recognition
Flexible sensors have attracted extensive attention in the field of human-computer interaction. However, it is still a challenging task to realize accuracy gesture recognition with flexible sensor, which requires sensor not only have high sensitivity, but also have appropriate strain detection range...
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| Veröffentlicht in: | International journal of biological macromolecules 2023-03, Vol.231, p.123568-123568, Article 123568 |
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| container_title | International journal of biological macromolecules |
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| creator | Liu, Caixia Sun, Yifan Liu, Ping Ma, Fei Wu, Shunge Li, Junliang Li, Shuai Hu, Ruohai Wang, Zhenti Wang, Yubing Liu, Guiqian Xing, Kun Tian, Helei Huang, Houzhu Guo, Xinxin Ge, Chunyu Yang, Xiaoming Huang, Ying |
| description | Flexible sensors have attracted extensive attention in the field of human-computer interaction. However, it is still a challenging task to realize accuracy gesture recognition with flexible sensor, which requires sensor not only have high sensitivity, but also have appropriate strain detection range. Here, a high gauge factor flexible sensor (gauge factor ∼ 1296 under 12–20 % strain) based on crack structure is reported. The sensor is made of a biodegradable and stretchable gelatin composite combined with fabric bases, with good repeatability (6000 cycles) and a fast response (60 ms). Because of the double-layer structure, it has a suitable detection range (20 % strain). The sensor is manufactured by a screen-printing process, and it has been used to make data gloves and has realized 9 gestures recognition with machine learning algorithm (99.6 % accuracy). In general, this study offers a wearable gestures recognition scheme through the proposed sensor. |
| doi_str_mv | 10.1016/j.ijbiomac.2023.123568 |
| format | Article |
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However, it is still a challenging task to realize accuracy gesture recognition with flexible sensor, which requires sensor not only have high sensitivity, but also have appropriate strain detection range. Here, a high gauge factor flexible sensor (gauge factor ∼ 1296 under 12–20 % strain) based on crack structure is reported. The sensor is made of a biodegradable and stretchable gelatin composite combined with fabric bases, with good repeatability (6000 cycles) and a fast response (60 ms). Because of the double-layer structure, it has a suitable detection range (20 % strain). The sensor is manufactured by a screen-printing process, and it has been used to make data gloves and has realized 9 gestures recognition with machine learning algorithm (99.6 % accuracy). In general, this study offers a wearable gestures recognition scheme through the proposed sensor.</description><identifier>ISSN: 0141-8130</identifier><identifier>EISSN: 1879-0003</identifier><identifier>DOI: 10.1016/j.ijbiomac.2023.123568</identifier><identifier>PMID: 36754267</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Biodegradable gelatin nanocomposites ; Double strain layered structures ; Flexible strain sensor ; Gelatin ; Gestures ; Humans ; Nanocomposites ; Textiles ; Wearable Electronic Devices</subject><ispartof>International journal of biological macromolecules, 2023-03, Vol.231, p.123568-123568, Article 123568</ispartof><rights>2023</rights><rights>Copyright © 2023. Published by Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-fbe22e49d7fa4de5caf612985b48828e29dab31e19ce81d14c3f035ed10992f93</citedby><cites>FETCH-LOGICAL-c368t-fbe22e49d7fa4de5caf612985b48828e29dab31e19ce81d14c3f035ed10992f93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0141813023004610$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36754267$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Caixia</creatorcontrib><creatorcontrib>Sun, Yifan</creatorcontrib><creatorcontrib>Liu, Ping</creatorcontrib><creatorcontrib>Ma, Fei</creatorcontrib><creatorcontrib>Wu, Shunge</creatorcontrib><creatorcontrib>Li, Junliang</creatorcontrib><creatorcontrib>Li, Shuai</creatorcontrib><creatorcontrib>Hu, Ruohai</creatorcontrib><creatorcontrib>Wang, Zhenti</creatorcontrib><creatorcontrib>Wang, Yubing</creatorcontrib><creatorcontrib>Liu, Guiqian</creatorcontrib><creatorcontrib>Xing, Kun</creatorcontrib><creatorcontrib>Tian, Helei</creatorcontrib><creatorcontrib>Huang, Houzhu</creatorcontrib><creatorcontrib>Guo, Xinxin</creatorcontrib><creatorcontrib>Ge, Chunyu</creatorcontrib><creatorcontrib>Yang, Xiaoming</creatorcontrib><creatorcontrib>Huang, Ying</creatorcontrib><title>Fabrication and characterization of highly sensitive flexible strain sensor based on biodegradable gelatin nanocomposites and double strain layered structures with crack for gesture recognition</title><title>International journal of biological macromolecules</title><addtitle>Int J Biol Macromol</addtitle><description>Flexible sensors have attracted extensive attention in the field of human-computer interaction. However, it is still a challenging task to realize accuracy gesture recognition with flexible sensor, which requires sensor not only have high sensitivity, but also have appropriate strain detection range. Here, a high gauge factor flexible sensor (gauge factor ∼ 1296 under 12–20 % strain) based on crack structure is reported. The sensor is made of a biodegradable and stretchable gelatin composite combined with fabric bases, with good repeatability (6000 cycles) and a fast response (60 ms). Because of the double-layer structure, it has a suitable detection range (20 % strain). The sensor is manufactured by a screen-printing process, and it has been used to make data gloves and has realized 9 gestures recognition with machine learning algorithm (99.6 % accuracy). In general, this study offers a wearable gestures recognition scheme through the proposed sensor.</description><subject>Biodegradable gelatin nanocomposites</subject><subject>Double strain layered structures</subject><subject>Flexible strain sensor</subject><subject>Gelatin</subject><subject>Gestures</subject><subject>Humans</subject><subject>Nanocomposites</subject><subject>Textiles</subject><subject>Wearable Electronic Devices</subject><issn>0141-8130</issn><issn>1879-0003</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFUctu1DAUtRCIDoVfqLxkk8GPxLF3oIoCUiU2sLYc-ybjIbEHOykMf8ef4TQtYsfK8r3nZR-ErijZU0LFm-PeHzsfJ2P3jDC-p4w3Qj5BOypbVRFC-FO0I7SmlaScXKAXOR_LVDRUPkcXXLRNzUS7Q79vTJe8NbOPAZvgsD2YZOwMyf_ahrHHBz8cxjPOELKf_R3gfoSfvhsB5zkZH-43MeHOZHC4cEoyB0MyzqygAcYiFXAwIdo4nWJRgXzv5uLyj8xozpCKQrkudl5SAf3w8wHbkugb7ovDAHmd4wQ2DsGvAV-iZ70ZM7x6OC_R15v3X64_VrefP3y6fndbWS7kXPUdMAa1cm1vageNNb2gTMmmq6VkEpgqYTkFqixI6mhteU94A44SpViv-CV6vemeUvy-lBx68tnCOJoAccmatW0tlaiVKFCxQW2KOSfo9Sn5yaSzpkSv9emjfqxPr_Xprb5CvHrwWLoJ3F_aY18F8HYDQHnpnYeks_UQLDhfvmTWLvr_efwBqxC2HA</recordid><startdate>20230315</startdate><enddate>20230315</enddate><creator>Liu, Caixia</creator><creator>Sun, Yifan</creator><creator>Liu, Ping</creator><creator>Ma, Fei</creator><creator>Wu, Shunge</creator><creator>Li, Junliang</creator><creator>Li, Shuai</creator><creator>Hu, Ruohai</creator><creator>Wang, Zhenti</creator><creator>Wang, Yubing</creator><creator>Liu, Guiqian</creator><creator>Xing, Kun</creator><creator>Tian, Helei</creator><creator>Huang, Houzhu</creator><creator>Guo, Xinxin</creator><creator>Ge, Chunyu</creator><creator>Yang, Xiaoming</creator><creator>Huang, Ying</creator><general>Elsevier B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20230315</creationdate><title>Fabrication and characterization of highly sensitive flexible strain sensor based on biodegradable gelatin nanocomposites and double strain layered structures with crack for gesture recognition</title><author>Liu, Caixia ; Sun, Yifan ; Liu, Ping ; Ma, Fei ; Wu, Shunge ; Li, Junliang ; Li, Shuai ; Hu, Ruohai ; Wang, Zhenti ; Wang, Yubing ; Liu, Guiqian ; Xing, Kun ; Tian, Helei ; Huang, Houzhu ; Guo, Xinxin ; Ge, Chunyu ; Yang, Xiaoming ; Huang, Ying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-fbe22e49d7fa4de5caf612985b48828e29dab31e19ce81d14c3f035ed10992f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Biodegradable gelatin nanocomposites</topic><topic>Double strain layered structures</topic><topic>Flexible strain sensor</topic><topic>Gelatin</topic><topic>Gestures</topic><topic>Humans</topic><topic>Nanocomposites</topic><topic>Textiles</topic><topic>Wearable Electronic Devices</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Caixia</creatorcontrib><creatorcontrib>Sun, Yifan</creatorcontrib><creatorcontrib>Liu, Ping</creatorcontrib><creatorcontrib>Ma, Fei</creatorcontrib><creatorcontrib>Wu, Shunge</creatorcontrib><creatorcontrib>Li, Junliang</creatorcontrib><creatorcontrib>Li, Shuai</creatorcontrib><creatorcontrib>Hu, Ruohai</creatorcontrib><creatorcontrib>Wang, Zhenti</creatorcontrib><creatorcontrib>Wang, Yubing</creatorcontrib><creatorcontrib>Liu, Guiqian</creatorcontrib><creatorcontrib>Xing, Kun</creatorcontrib><creatorcontrib>Tian, Helei</creatorcontrib><creatorcontrib>Huang, Houzhu</creatorcontrib><creatorcontrib>Guo, Xinxin</creatorcontrib><creatorcontrib>Ge, Chunyu</creatorcontrib><creatorcontrib>Yang, Xiaoming</creatorcontrib><creatorcontrib>Huang, Ying</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of biological macromolecules</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Caixia</au><au>Sun, Yifan</au><au>Liu, Ping</au><au>Ma, Fei</au><au>Wu, Shunge</au><au>Li, Junliang</au><au>Li, Shuai</au><au>Hu, Ruohai</au><au>Wang, Zhenti</au><au>Wang, Yubing</au><au>Liu, Guiqian</au><au>Xing, Kun</au><au>Tian, Helei</au><au>Huang, Houzhu</au><au>Guo, Xinxin</au><au>Ge, Chunyu</au><au>Yang, Xiaoming</au><au>Huang, Ying</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Fabrication and characterization of highly sensitive flexible strain sensor based on biodegradable gelatin nanocomposites and double strain layered structures with crack for gesture recognition</atitle><jtitle>International journal of biological macromolecules</jtitle><addtitle>Int J Biol Macromol</addtitle><date>2023-03-15</date><risdate>2023</risdate><volume>231</volume><spage>123568</spage><epage>123568</epage><pages>123568-123568</pages><artnum>123568</artnum><issn>0141-8130</issn><eissn>1879-0003</eissn><abstract>Flexible sensors have attracted extensive attention in the field of human-computer interaction. However, it is still a challenging task to realize accuracy gesture recognition with flexible sensor, which requires sensor not only have high sensitivity, but also have appropriate strain detection range. Here, a high gauge factor flexible sensor (gauge factor ∼ 1296 under 12–20 % strain) based on crack structure is reported. The sensor is made of a biodegradable and stretchable gelatin composite combined with fabric bases, with good repeatability (6000 cycles) and a fast response (60 ms). Because of the double-layer structure, it has a suitable detection range (20 % strain). The sensor is manufactured by a screen-printing process, and it has been used to make data gloves and has realized 9 gestures recognition with machine learning algorithm (99.6 % accuracy). In general, this study offers a wearable gestures recognition scheme through the proposed sensor.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>36754267</pmid><doi>10.1016/j.ijbiomac.2023.123568</doi><tpages>1</tpages></addata></record> |
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| source | MEDLINE; Elsevier ScienceDirect Journals Complete |
| subjects | Biodegradable gelatin nanocomposites Double strain layered structures Flexible strain sensor Gelatin Gestures Humans Nanocomposites Textiles Wearable Electronic Devices |
| title | Fabrication and characterization of highly sensitive flexible strain sensor based on biodegradable gelatin nanocomposites and double strain layered structures with crack for gesture recognition |
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