Flexible hybrid self-powered piezo-triboelectric nanogenerator based on BTO-PVDF/PDMS nanocomposites for human machine interaction
Abstract As flexible and wearable electronics play more and more important role in smart watches, smart glass and virtual reality, and the power supply to the wearable electronics have been revealed more attentions for long-term usage and continuous healthy monitoring. To overcome the challenge, fle...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-00686-z |
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| author | Wentao Dong Mengyun Li Chang Chen Kun Xie Jinhua Hong Lin Yang |
| author_facet | Wentao Dong Mengyun Li Chang Chen Kun Xie Jinhua Hong Lin Yang |
| author_sort | Wentao Dong |
| collection | DOAJ |
| description | Abstract As flexible and wearable electronics play more and more important role in smart watches, smart glass and virtual reality, and the power supply to the wearable electronics have been revealed more attentions for long-term usage and continuous healthy monitoring. To overcome the challenge, flexible self-powered BTO-PVDF/PDMS piezoelectric-triboelectric electric hybrid generators (BPP-HNG) are developed to human gesture monitoring and human machine interaction (HMI) application without external power supply. BPP-HNG based on BTO-PVDF and PDMS films are prepared by sol–gel and spin-coating method. When the BTO content is 20 wt.%, BPP-HNG exhibits better electrical performance with an output voltage of 20.51 V. A real-time gesture monitoring system is designed and developed to human machine interaction, which is able to control the motion of robot finger through BPP-HNG. BPP-HNG could monitor and recognize various gestures in real time, enabling synchronization between the human hand and the robot’s hand. With the convergence of AI technology and big data, BPP-HNG based HMI technology is expected to realize the potential of smarter and more intuitive interactions. |
| format | Article |
| id | doaj-art-2958e43c69da484dafdbc2d00deb4e60 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-2958e43c69da484dafdbc2d00deb4e602025-08-20T02:15:10ZengNature PortfolioScientific Reports2045-23222025-05-0115111110.1038/s41598-025-00686-zFlexible hybrid self-powered piezo-triboelectric nanogenerator based on BTO-PVDF/PDMS nanocomposites for human machine interactionWentao Dong0Mengyun Li1Chang Chen2Kun Xie3Jinhua Hong4Lin Yang5School of Electrical and Automation Engineering, East China Jiaotong UniversitySchool of Electrical and Automation Engineering, East China Jiaotong UniversitySchool of Electrical and Automation Engineering, East China Jiaotong UniversityDepartment of Civil and Environmental Engineering, Transportation Informatics Lab, Old Dominion University (ODU)School of Advanced Manufacturing, Nanchang UniversityDepartment of Mechanical and Electrical Engineering, Huazhong Agricultural UniversityAbstract As flexible and wearable electronics play more and more important role in smart watches, smart glass and virtual reality, and the power supply to the wearable electronics have been revealed more attentions for long-term usage and continuous healthy monitoring. To overcome the challenge, flexible self-powered BTO-PVDF/PDMS piezoelectric-triboelectric electric hybrid generators (BPP-HNG) are developed to human gesture monitoring and human machine interaction (HMI) application without external power supply. BPP-HNG based on BTO-PVDF and PDMS films are prepared by sol–gel and spin-coating method. When the BTO content is 20 wt.%, BPP-HNG exhibits better electrical performance with an output voltage of 20.51 V. A real-time gesture monitoring system is designed and developed to human machine interaction, which is able to control the motion of robot finger through BPP-HNG. BPP-HNG could monitor and recognize various gestures in real time, enabling synchronization between the human hand and the robot’s hand. With the convergence of AI technology and big data, BPP-HNG based HMI technology is expected to realize the potential of smarter and more intuitive interactions.https://doi.org/10.1038/s41598-025-00686-zWearable electronicsHybrid piezoelectric-triboelectric nanogeneratorBTO-PVDF/PDMS nanocompositesHuman machine interactionGesture monitoring |
| spellingShingle | Wentao Dong Mengyun Li Chang Chen Kun Xie Jinhua Hong Lin Yang Flexible hybrid self-powered piezo-triboelectric nanogenerator based on BTO-PVDF/PDMS nanocomposites for human machine interaction Scientific Reports Wearable electronics Hybrid piezoelectric-triboelectric nanogenerator BTO-PVDF/PDMS nanocomposites Human machine interaction Gesture monitoring |
| title | Flexible hybrid self-powered piezo-triboelectric nanogenerator based on BTO-PVDF/PDMS nanocomposites for human machine interaction |
| title_full | Flexible hybrid self-powered piezo-triboelectric nanogenerator based on BTO-PVDF/PDMS nanocomposites for human machine interaction |
| title_fullStr | Flexible hybrid self-powered piezo-triboelectric nanogenerator based on BTO-PVDF/PDMS nanocomposites for human machine interaction |
| title_full_unstemmed | Flexible hybrid self-powered piezo-triboelectric nanogenerator based on BTO-PVDF/PDMS nanocomposites for human machine interaction |
| title_short | Flexible hybrid self-powered piezo-triboelectric nanogenerator based on BTO-PVDF/PDMS nanocomposites for human machine interaction |
| title_sort | flexible hybrid self powered piezo triboelectric nanogenerator based on bto pvdf pdms nanocomposites for human machine interaction |
| topic | Wearable electronics Hybrid piezoelectric-triboelectric nanogenerator BTO-PVDF/PDMS nanocomposites Human machine interaction Gesture monitoring |
| url | https://doi.org/10.1038/s41598-025-00686-z |
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