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A Wearable Textile 3D Gesture Recognition Sensor Based on Screen-Printing Technology

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A Wearable Textile 3D Gesture Recognition Sensor Based on Screen-Printing Technology

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dc.contributor.author FERRI PASCUAL, JOSUÉ es_ES
dc.contributor.author Llinares Llopis, Raúl es_ES
dc.contributor.author MORENO CANTON, JORGE es_ES
dc.contributor.author Ibáñez Civera, Francisco Javier es_ES
dc.contributor.author Garcia-Breijo, Eduardo es_ES
dc.date.accessioned 2021-02-03T04:32:33Z
dc.date.available 2021-02-03T04:32:33Z
dc.date.issued 2019-11-20 es_ES
dc.identifier.uri http://hdl.handle.net/10251/160575
dc.description.abstract [EN] Research has developed various solutions in order for computers to recognize hand gestures in the context of human machine interface (HMI). The design of a successful hand gesture recognition system must address functionality and usability. The gesture recognition market has evolved from touchpads to touchless sensors, which do not need direct contact. Their application in textiles ranges from the field of medical environments to smart home applications and the automotive industry. In this paper, a textile capacitive touchless sensor has been developed by using screen-printing technology. Two different designs were developed to obtain the best configuration, obtaining good results in both cases. Finally, as a real application, a complete solution of the sensor with wireless communications is presented to be used as an interface for a mobile phone. es_ES
dc.description.sponsorship The work presented is funded by the Conselleria d'Economia Sostenible, Sectors Productius i Treball, through IVACE (Instituto Valenciano de Competitividad Empresarial) and cofounded by ERDF funding from the EU. Application No.: IMAMCI/2019/1. This work was also supported by the Spanish Government/FEDER funds (RTI2018-100910-B-C43) (MINECO/FEDER). es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Sensors es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Gesture recognition es_ES
dc.subject Screen-printing es_ES
dc.subject 3D touchpad es_ES
dc.subject E-field sensors es_ES
dc.subject Wearables es_ES
dc.subject Touchless es_ES
dc.subject.classification TECNOLOGIA ELECTRONICA es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title A Wearable Textile 3D Gesture Recognition Sensor Based on Screen-Printing Technology es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/s19235068 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-100910-B-C43/ES/DESARROLLO DE PLATAFORMAS DE DETECCION Y TERAPEUTICAS PARA APLICACIONES BIOMEDICAS BASADAS EN DISPOSITIVOS ELECTRONICOS/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/IVACE//IMAMCI%2F2019%2F1/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica es_ES
dc.description.bibliographicCitation Ferri Pascual, J.; Llinares Llopis, R.; Moreno Canton, J.; Ibáñez Civera, FJ.; Garcia-Breijo, E. (2019). A Wearable Textile 3D Gesture Recognition Sensor Based on Screen-Printing Technology. Sensors. 19(23):1-32. https://doi.org/10.3390/s19235068 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/s19235068 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 32 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 19 es_ES
dc.description.issue 23 es_ES
dc.identifier.eissn 1424-8220 es_ES
dc.identifier.pmid 31757058 es_ES
dc.identifier.pmcid PMC6928654 es_ES
dc.relation.pasarela S\401827 es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Institut Valencià de Competitivitat Empresarial es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.description.references Chakraborty, B. K., Sarma, D., Bhuyan, M. K., & MacDorman, K. F. (2017). Review of constraints on vision‐based gesture recognition for human–computer interaction. IET Computer Vision, 12(1), 3-15. doi:10.1049/iet-cvi.2017.0052 es_ES
dc.description.references Zhang, Z. (2012). Microsoft Kinect Sensor and Its Effect. IEEE Multimedia, 19(2), 4-10. doi:10.1109/mmul.2012.24 es_ES
dc.description.references Rautaray, S. S. (2012). Real Time Hand Gesture Recognition System for Dynamic Applications. International Journal of UbiComp, 3(1), 21-31. doi:10.5121/iju.2012.3103 es_ES
dc.description.references Karim, R. A., Zakaria, N. F., Zulkifley, M. A., Mustafa, M. M., Sagap, I., & Md Latar, N. H. (2013). Telepointer technology in telemedicine : a review. BioMedical Engineering OnLine, 12(1), 21. doi:10.1186/1475-925x-12-21 es_ES
dc.description.references Santos, L., Carbonaro, N., Tognetti, A., González, J., de la Fuente, E., Fraile, J., & Pérez-Turiel, J. (2018). Dynamic Gesture Recognition Using a Smart Glove in Hand-Assisted Laparoscopic Surgery. Technologies, 6(1), 8. doi:10.3390/technologies6010008 es_ES
dc.description.references Singh, A., Buonassisi, J., & Jain, S. (2014). Autonomous Multiple Gesture Recognition System for Disabled People. International Journal of Image, Graphics and Signal Processing, 6(2), 39-45. doi:10.5815/ijigsp.2014.02.05 es_ES
dc.description.references Ohn-Bar, E., & Trivedi, M. M. (2014). Hand Gesture Recognition in Real Time for Automotive Interfaces: A Multimodal Vision-Based Approach and Evaluations. IEEE Transactions on Intelligent Transportation Systems, 15(6), 2368-2377. doi:10.1109/tits.2014.2337331 es_ES
dc.description.references Khan, S. A., & Engelbrecht, A. P. (2010). A fuzzy particle swarm optimization algorithm for computer communication network topology design. Applied Intelligence, 36(1), 161-177. doi:10.1007/s10489-010-0251-2 es_ES
dc.description.references Abraham, L., Urru, A., Normani, N., Wilk, M., Walsh, M., & O’Flynn, B. (2018). Hand Tracking and Gesture Recognition Using Lensless Smart Sensors. Sensors, 18(9), 2834. doi:10.3390/s18092834 es_ES
dc.description.references Zeng, Q., Kuang, Z., Wu, S., & Yang, J. (2019). A Method of Ultrasonic Finger Gesture Recognition Based on the Micro-Doppler Effect. Applied Sciences, 9(11), 2314. doi:10.3390/app9112314 es_ES
dc.description.references Lien, J., Gillian, N., Karagozler, M. E., Amihood, P., Schwesig, C., Olson, E., … Poupyrev, I. (2016). Soli. ACM Transactions on Graphics, 35(4), 1-19. doi:10.1145/2897824.2925953 es_ES
dc.description.references Sang, Y., Shi, L., & Liu, Y. (2018). Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing. IEEE Access, 6, 49339-49347. doi:10.1109/access.2018.2868268 es_ES
dc.description.references Ferri, J., Lidón-Roger, J., Moreno, J., Martinez, G., & Garcia-Breijo, E. (2017). A Wearable Textile 2D Touchpad Sensor Based on Screen-Printing Technology. Materials, 10(12), 1450. doi:10.3390/ma10121450 es_ES
dc.description.references Nunes, J., Castro, N., Gonçalves, S., Pereira, N., Correia, V., & Lanceros-Mendez, S. (2017). Marked Object Recognition Multitouch Screen Printed Touchpad for Interactive Applications. Sensors, 17(12), 2786. doi:10.3390/s17122786 es_ES
dc.description.references Ferri, J., Perez Fuster, C., Llinares Llopis, R., Moreno, J., & Garcia‑Breijo, E. (2018). Integration of a 2D Touch Sensor with an Electroluminescent Display by Using a Screen-Printing Technology on Textile Substrate. Sensors, 18(10), 3313. doi:10.3390/s18103313 es_ES
dc.description.references Cronin, S., & Doherty, G. (2018). Touchless computer interfaces in hospitals: A review. Health Informatics Journal, 25(4), 1325-1342. doi:10.1177/1460458217748342 es_ES
dc.description.references Haslinger, L., Wasserthal, S., & Zagar, B. G. (2017). P3.1 - A capacitive measurement system for gesture regocnition. Proceedings Sensor 2017. doi:10.5162/sensor2017/p3.1 es_ES
dc.description.references Cherenack, K., & van Pieterson, L. (2012). Smart textiles: Challenges and opportunities. Journal of Applied Physics, 112(9), 091301. doi:10.1063/1.4742728 es_ES


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