IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v327y2025ics0360544225020766.html
   My bibliography  Save this article

A wearable driver gesture recognition system enabled AI application in virtual reality interaction for smart traffic

Author

Listed:
  • Xiong, Kaixiao
  • Fan, Chengliang
  • He, Deqiang
  • Chen, Hongyu
  • Zhao, Xinyi
  • Feng, Xihui
  • Zhang, Zutao
  • Wu, Xiaoping

Abstract

In the rapid development of virtual reality technology in the future, the driver's gesture will become the key information in the driving process. Translating these gestures into digital signals can provide an innovative technical solution for intelligent driving systems in virtual reality environments. More recently, there is a complete set of specifications for the gesture instructions of railway train drivers as an important part of ensuring the safety of train drivers in the driving process. This paper puts forward a Driver Command Smart System (DC-SS) for Smart Transportation based on the current railway driver's gesture command. A portable triboelectric sensor ring (TENG) is employed to capture the driver's gesture signals. By comparing the use of recurrent neural networks (RNN) and convolutional neural networks (CNN) in deep learning technology, we achieved real-time accurate recognition of driver gestures (98.9 %) and the generation of virtual actions. Finally, Unity3D is used for real-time generation of the cab scene, facilitating real-time virtual interaction between train drivers and various transportation units. The application of these technologies not only improves the accuracy of gesture recognition but also provides an effective technical approach for human-computer interaction and human-human interaction in driver-based intelligent transportation system. It lays a foundation for the application of intelligent traffic digital twinning technology in the field of meta-universe. Furthermore, its technical principles and methods also apply to the future of road, sea and air traffic and other key areas where human gesture recognition is crucial to safety and efficiency.

Suggested Citation

  • Xiong, Kaixiao & Fan, Chengliang & He, Deqiang & Chen, Hongyu & Zhao, Xinyi & Feng, Xihui & Zhang, Zutao & Wu, Xiaoping, 2025. "A wearable driver gesture recognition system enabled AI application in virtual reality interaction for smart traffic," Energy, Elsevier, vol. 327(C).
  • Handle: RePEc:eee:energy:v:327:y:2025:i:c:s0360544225020766
    DOI: 10.1016/j.energy.2025.136434
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544225020766
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2025.136434?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Qiongfeng Shi & Zixuan Zhang & Tianyiyi He & Zhongda Sun & Bingjie Wang & Yuqin Feng & Xuechuan Shan & Budiman Salam & Chengkuo Lee, 2020. "Deep learning enabled smart mats as a scalable floor monitoring system," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    2. Shiqiang Liu & Junchang Zhang & Yuzhong Zhang & Rong Zhu, 2020. "A wearable motion capture device able to detect dynamic motion of human limbs," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    3. Hasan, Mohammed Nazibul & Nayan, Nafarizal & Nafea, Marwan & Muthalif, Asan G.A. & Mohamed Ali, Mohamed Sultan, 2022. "Novel structural design of wearable thermoelectric generator with vertically oriented thermoelements," Energy, Elsevier, vol. 259(C).
    4. Zhongda Sun & Minglu Zhu & Xuechuan Shan & Chengkuo Lee, 2022. "Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    5. Wei Gao & Sam Emaminejad & Hnin Yin Yin Nyein & Samyuktha Challa & Kevin Chen & Austin Peck & Hossain M. Fahad & Hiroki Ota & Hiroshi Shiraki & Daisuke Kiriya & Der-Hsien Lien & George A. Brooks & Ron, 2016. "Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis," Nature, Nature, vol. 529(7587), pages 509-514, January.
    6. Chen, Jiangfan & Fang, Zheng & Azam, Ali & Wu, Xiaoping & Zhang, Zutao & Lu, Linhai & Li, Dongyang, 2023. "An energy self-circulation system based on the wearable thermoelectric harvester for ART driver monitoring," Energy, Elsevier, vol. 262(PA).
    7. Ghomian, Taher & Mehraeen, Shahab, 2019. "Survey of energy scavenging for wearable and implantable devices," Energy, Elsevier, vol. 178(C), pages 33-49.
    8. Yuan, Zhiyi & Dong, Changgui & Ou, Xunmin, 2023. "The substitution effect of high-speed rail on civil aviation in China," Energy, Elsevier, vol. 263(PC).
    9. Oliveira Santos, Victor & Costa Rocha, Paulo Alexandre & Scott, John & Van Griensven Thé, Jesse & Gharabaghi, Bahram, 2023. "Spatiotemporal analysis of bidimensional wind speed forecasting: Development and thorough assessment of LSTM and ensemble graph neural networks on the Dutch database," Energy, Elsevier, vol. 278(PA).
    10. Kyun Kyu Kim & InHo Ha & Min Kim & Joonhwa Choi & Phillip Won & Sungho Jo & Seung Hwan Ko, 2020. "A deep-learned skin sensor decoding the epicentral human motions," Nature Communications, Nature, vol. 11(1), pages 1-8, December.
    11. Feng Wen & Zixuan Zhang & Tianyiyi He & Chengkuo Lee, 2021. "AI enabled sign language recognition and VR space bidirectional communication using triboelectric smart glove," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhongda Sun & Minglu Zhu & Xuechuan Shan & Chengkuo Lee, 2022. "Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    2. Yanhua Liu & Jinlong Wang & Tao Liu & Zhiting Wei & Bin Luo & Mingchao Chi & Song Zhang & Chenchen Cai & Cong Gao & Tong Zhao & Shuangfei Wang & Shuangxi Nie, 2025. "Triboelectric tactile sensor for pressure and temperature sensing in high-temperature applications," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
    3. Xiao Lu & Haiqiu Tan & Haodong Zhang & Wuhong Wang & Shaorong Xie & Tao Yue & Facheng Chen, 2025. "Triboelectric sensor gloves for real-time behavior identification and takeover time adjustment in conditionally automated vehicles," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
    4. Taemin Kim & Yejee Shin & Kyowon Kang & Kiho Kim & Gwanho Kim & Yunsu Byeon & Hwayeon Kim & Yuyan Gao & Jeong Ryong Lee & Geonhui Son & Taeseong Kim & Yohan Jun & Jihyun Kim & Jinyoung Lee & Seyun Um , 2022. "Ultrathin crystalline-silicon-based strain gauges with deep learning algorithms for silent speech interfaces," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    5. Chunpeng Jiang & Wenqiang Xu & Yutong Li & Zhenjun Yu & Longchun Wang & Xiaotong Hu & Zhengyi Xie & Qingkun Liu & Bin Yang & Xiaolin Wang & Wenxin Du & Tutian Tang & Dongzhe Zheng & Siqiong Yao & Cewu, 2024. "Capturing forceful interaction with deformable objects using a deep learning-powered stretchable tactile array," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    6. Aobo Cheng & Xin Li & Ding Li & Zhikang Chen & Tianrui Cui & Lu-Qi Tao & Jinming Jian & HuiJun Xiao & Wancheng Shao & Zeyi Tang & Xinyue Li & Zirui Dong & Houfang Liu & Yi Yang & Tian-Ling Ren, 2025. "An intelligent hybrid-fabric wristband system enabled by thermal encapsulation for ergonomic human-machine interaction," Nature Communications, Nature, vol. 16(1), pages 1-9, December.
    7. Yijia Lu & Han Tian & Jia Cheng & Fei Zhu & Bin Liu & Shanshan Wei & Linhong Ji & Zhong Lin Wang, 2022. "Decoding lip language using triboelectric sensors with deep learning," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    8. Yunlong Xu & Zhongda Sun & Zhiqing Bai & Hua Shen & Run Wen & Fumei Wang & Guangbiao Xu & Chengkuo Lee, 2024. "Bionic e-skin with precise multi-directional droplet sliding sensing for enhanced robotic perception," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    9. Rao, Yongchen & Bechtold, Tamara & Hohlfeld, Dennis, 2025. "Design of packaged thermoelectric generators for implantable medical devices: A comprehensive parameter study," Energy, Elsevier, vol. 320(C).
    10. Matthew S. Brown & Louis Somma & Melissa Mendoza & Yeonsik Noh & Gretchen J. Mahler & Ahyeon Koh, 2022. "Upcycling Compact Discs for Flexible and Stretchable Bioelectronic Applications," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    11. Shaomei Lin & Weifeng Yang & Xubin Zhu & Yubin Lan & Kerui Li & Qinghong Zhang & Yaogang Li & Chengyi Hou & Hongzhi Wang, 2024. "Triboelectric micro-flexure-sensitive fiber electronics," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    12. Haisheng Xia & Yuchong Zhang & Nona Rajabi & Farzaneh Taleb & Qunting Yang & Danica Kragic & Zhijun Li, 2024. "Shaping high-performance wearable robots for human motor and sensory reconstruction and enhancement," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    13. Khan, Farooq & Kim, Dong Hyun & Lee, Jinwoo, 2025. "Functionalized materials and geometric designs of thermoelectric devices for smart wearable applications," Applied Energy, Elsevier, vol. 379(C).
    14. Aleksandrova, M.P. & Tsanev, T.D. & Pandiev, I.M. & Dobrikov, G.H., 2020. "Study of piezoelectric behaviour of sputtered KNbO3 nanocoatings for flexible energy harvesting," Energy, Elsevier, vol. 205(C).
    15. Zhao, Lin-Chuan & Zhou, Teng & Chang, Si-Deng & Zou, Hong-Xiang & Gao, Qiu-Hua & Wu, Zhi-Yuan & Yan, Ge & Wei, Ke-Xiang & Yeatman, Eric M. & Meng, Guang & Zhang, Wen-Ming, 2024. "A disposable cup inspired smart floor for trajectory recognition and human-interactive sensing," Applied Energy, Elsevier, vol. 357(C).
    16. Karthikeyan Kalyanasundaram Balasubramanian & Andrea Merello & Giorgio Zini & Nathan Charles Foster & Andrea Cavallo & Cristina Becchio & Marco Crepaldi, 2023. "Neural network-based Bluetooth synchronization of multiple wearable devices," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    17. Md Maruf Hossain Shuvo & Twisha Titirsha & Nazmul Amin & Syed Kamrul Islam, 2022. "Energy Harvesting in Implantable and Wearable Medical Devices for Enduring Precision Healthcare," Energies, MDPI, vol. 15(20), pages 1-50, October.
    18. Smith, Eric & Hosseini, Seyed Ehsan, 2019. "Human Body Micro-power plant," Energy, Elsevier, vol. 183(C), pages 16-24.
    19. Tianyiyi He & Jinge Wang & Donghui Hu & Yanqin Yang & Eunyoung Chae & Chengkuo Lee, 2025. "Epidermal electronic-tattoo for plant immune response monitoring," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
    20. Sangha Kim & Seongjin Park & Jina Choi & Wonseop Hwang & Sunho Kim & In-Suk Choi & Hyunjung Yi & Rhokyun Kwak, 2022. "An epifluidic electronic patch with spiking sweat clearance for event-driven perspiration monitoring," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:327:y:2025:i:c:s0360544225020766. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.