Пристрої та моделі магнітного трекінгу для систем доповненої реальності

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dc.citation.epage93
dc.citation.issue2
dc.citation.journalTitleІнфокомунікаційні технології та електронна інженерія
dc.citation.spage81
dc.contributor.affiliationНаціональний університет “Львівська політехніка”
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorГоляка, Р.
dc.contributor.authorМарусенкова, Т.
dc.contributor.authorХільчук, М.
dc.contributor.authorHolyaka, R.
dc.contributor.authorMarusenkova, T.
dc.contributor.authorKhilchuk, M.
dc.date.accessioned2023-03-03T13:06:23Z
dc.date.available2023-03-03T13:06:23Z
dc.date.created2021-01-31
dc.date.issued2021-01-31
dc.description.abstractРозглянуто проблематику побудови сигнальних перетворювачів магнітного трекінгу для систем доповненої реальності. Інформативні сигнали систем магнітного трекінгу описуються функціональними залежностями, основні аргументи яких – відстань між актюаторними та сенсорними котушками та кути їх взаємного нахилу. Для розрахунку просторового положення використовують математичні моделі, які описують розподіл сформованих актюаторними котушками магнітних полів та сигналів сенсорних котушок. Сигнальний перетворювач пристроїв магнітного трекінгу розроблено на основі програмованої системи на кристалі PSoC сім’ї 5LP Family Cypress Semiconductor. Наведено результати експериментальних досліджень сімей сигналів у разі зміни відстані між котушками та кутів їх взаємного положення.
dc.description.abstractThe problems of developing of magnetic tracking signal transducers for augmented reality systems are considered. The spatial position of objects in such systems is carried out by measuring the vector of reference magnetic fields induction in the low-frequency spectrum of electromagnetic radiation. Small sensors and their 2D or 3D assemblies are mainly sensors and actuators in magnetic tracking sensor systems. Informative signals of magnetic tracking systems are described by functional dependencies, the main arguments of which are the distance between the actuator and sensor coils and the angles of their mutual inclination. To calculate the spatial position, signal models are used, which describe the distribution of magnetic fields generated by actuator coils and signals ofsensor coils. The structure of the signal-processing chain of the programmable magnetic tracking system and its implementation based on PSoC family 5LP Family Cypress Semiconductor Corporation are presented. The results of experimental studies of a signals family when changing the distance between the coils and the angles of their relative position are obtained. Taking into account experimental data the signal model describing functional dependences of informative signals is developed. The use of the presented signal model covers the tasks of development and specification of algorithms for calculating the spatial position, debugging and rapid assessment of the accuracy of the magnetic tracking system, optimization of calibration procedures and more. Approbation of the presented devices of magnetic tracking is carried out in numerous projects on development of augmented reality components in data fusion technology with a combination of signals of measuring converters of magnetic tracking and IMU modules based on MEMS 3D accelerometers and gyroscopes.
dc.format.extent81-93
dc.format.pages13
dc.identifier.citationГоляка Р. Пристрої та моделі магнітного трекінгу для систем доповненої реальності / Р. Голяка, Т. Марусенкова, М. Хільчук // Інфокомунікаційні технології та електронна інженерія. — Львів : Видавництво Львівської політехніки, 2021. — Vol 1. — № 2. — С. 81–93.
dc.identifier.citationenHolyaka R., Marusenkova T., Khilchuk M. (2021) Prystroi ta modeli mahnitnoho trekinhu dlia system dopovnenoi realnosti [Devices and models of magnetic tracking for augmented reality systems]. Infocommunication Technologies and Electronic Engineering (Lviv), vol. 1, no 2, pp. 81-93 [in Ukrainian].
dc.identifier.doihttps://doi.org/10.23939/ictee2021.02.081
dc.identifier.issn2786-4553
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/57501
dc.language.isouk
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofІнфокомунікаційні технології та електронна інженерія, 2 (1), 2021
dc.relation.ispartofInfocommunication Technologies and Electronic Engineering, 2 (1), 2021
dc.relation.references[1] Hongtao W., Zhimin Y., Ping W., Santoso B., Lian O. (2018),“A novel method of motion tracking for virtual reality using magnetic sensors”, in Asia-Pacific Magnetic Recording Conference (APMRC-2018), Shanghai. DOI: 10.1109/APMRC.2018.8601108.
dc.relation.references[2] Singh M. and Jung B. (2017), “High-definition wireless personal area tracking using AC magnetic field for virtual reality”, in 2017 IEEE Virtual Reality (VR), Los Angeles. DOI: 10.1109/VR.2017.7892250.
dc.relation.references[3] Fedasyuk D., Holyaka R., and Marusenkova T. (2019), “A tester of the MEMS accelerometers operation modes”, in 2019 3rd Int. Conf. on Advanced Information and Communications Technologies (AICT), Lviv. DOI: 10.1109/aiact.2019.8847840.
dc.relation.references[4] Fedasyuk D., Holyaka R., and Marusenkova T. (2019), “Method of analyzing dynamic characteristics of MEMS gyroscopes in test measurement mode”, in 2019 9th Int. Conf. on Advanced Computer Information Technologies (ACIT), Ceske Budejovice, pp. 157–160. DOI: 10.1109/acitt.2019.8780058.
dc.relation.references[5] Jo D. and Kim G. (2016),“ARIoT: scalable augmented reality framework for interacting with Internet of Things appliances everywhere”, IEEE Trans. Consum. Electron., Vol. 62, No. 3, pp. 334–340. DOI: 10.1109/tce.2016.7613201.
dc.relation.references[6] Reichl T., Gardiazabal J., and Navab N. (2013), “Electromagnetic Servoing – a new tracking paradigm”, IEEE Trans. Med. Imag., Vol. 32, No. 8, pp. 1526–1535. DOI: 10.1109/tmi.2013.2259636.
dc.relation.references[7] Franz A. et al. (2014), “Electromagnetic tracking in medicine—a review of technology, validation, and applications”, IEEE Trans. Med. Imag., Vol. 33, No. 8, pp. 1702–1725. DOI: 10.1109/tmi.2014.2321777.
dc.relation.references[8] Alves N. et al. (2015), “An MEG-compatible electromagnetic-tracking system for monitoring orofacial kinematics”, IEEE Trans. Biomed. Eng., Vol. 63, No. 8, pp. 1709–1717. DOI: 10.1109/tbme.2015.2500102.
dc.relation.references[9] Song S., Li Z., Yu H., and Ren H. (2015), “Electromagnetic positioning for tip tracking and shape sensing of flexible robots”, IEEE Sensors J., Vol. 15, No. 8, pp. 4565–4575. DOI: 10.1109/jsen.2015.2424228.
dc.relation.references[10] De Angelis G., De Angelis A., Moschitta A., Carbone P. (2017), “Comparison of Measurement Models for 3D Magnetic Localization and Tracking”, IEEE Sensors J., Vol. 17, No. 11. DOI: 10.3390/s17112527.
dc.relation.references[11] PSoC® 5LP: CY8C52LP Family Datasheet: Programmable System-on-Chip. Available at: http://www. cypress.com/documentation/datasheets/psoc-5lp-cy8c52lp-family-datasheet-programmable-system-chip-psoc.
dc.relation.references[12] CY8CKIT-050 PSoC 5LP Development Kit Guide. Cypress Semiconductor Corporation. 2018. Available at: http://www.cypress.com/file/45276/download.
dc.relation.referencesen[1] Hongtao W., Zhimin Y., Ping W., Santoso B., Lian O. (2018),"A novel method of motion tracking for virtual reality using magnetic sensors", in Asia-Pacific Magnetic Recording Conference (APMRC-2018), Shanghai. DOI: 10.1109/APMRC.2018.8601108.
dc.relation.referencesen[2] Singh M. and Jung B. (2017), "High-definition wireless personal area tracking using AC magnetic field for virtual reality", in 2017 IEEE Virtual Reality (VR), Los Angeles. DOI: 10.1109/VR.2017.7892250.
dc.relation.referencesen[3] Fedasyuk D., Holyaka R., and Marusenkova T. (2019), "A tester of the MEMS accelerometers operation modes", in 2019 3rd Int. Conf. on Advanced Information and Communications Technologies (AICT), Lviv. DOI: 10.1109/aiact.2019.8847840.
dc.relation.referencesen[4] Fedasyuk D., Holyaka R., and Marusenkova T. (2019), "Method of analyzing dynamic characteristics of MEMS gyroscopes in test measurement mode", in 2019 9th Int. Conf. on Advanced Computer Information Technologies (ACIT), Ceske Budejovice, pp. 157–160. DOI: 10.1109/acitt.2019.8780058.
dc.relation.referencesen[5] Jo D. and Kim G. (2016),"ARIoT: scalable augmented reality framework for interacting with Internet of Things appliances everywhere", IEEE Trans. Consum. Electron., Vol. 62, No. 3, pp. 334–340. DOI: 10.1109/tce.2016.7613201.
dc.relation.referencesen[6] Reichl T., Gardiazabal J., and Navab N. (2013), "Electromagnetic Servoing – a new tracking paradigm", IEEE Trans. Med. Imag., Vol. 32, No. 8, pp. 1526–1535. DOI: 10.1109/tmi.2013.2259636.
dc.relation.referencesen[7] Franz A. et al. (2014), "Electromagnetic tracking in medicine-a review of technology, validation, and applications", IEEE Trans. Med. Imag., Vol. 33, No. 8, pp. 1702–1725. DOI: 10.1109/tmi.2014.2321777.
dc.relation.referencesen[8] Alves N. et al. (2015), "An MEG-compatible electromagnetic-tracking system for monitoring orofacial kinematics", IEEE Trans. Biomed. Eng., Vol. 63, No. 8, pp. 1709–1717. DOI: 10.1109/tbme.2015.2500102.
dc.relation.referencesen[9] Song S., Li Z., Yu H., and Ren H. (2015), "Electromagnetic positioning for tip tracking and shape sensing of flexible robots", IEEE Sensors J., Vol. 15, No. 8, pp. 4565–4575. DOI: 10.1109/jsen.2015.2424228.
dc.relation.referencesen[10] De Angelis G., De Angelis A., Moschitta A., Carbone P. (2017), "Comparison of Measurement Models for 3D Magnetic Localization and Tracking", IEEE Sensors J., Vol. 17, No. 11. DOI: 10.3390/s17112527.
dc.relation.referencesen[11] PSoC® 5LP: CY8C52LP Family Datasheet: Programmable System-on-Chip. Available at: http://www. cypress.com/documentation/datasheets/psoc-5lp-cy8c52lp-family-datasheet-programmable-system-chip-psoc.
dc.relation.referencesen[12] CY8CKIT-050 PSoC 5LP Development Kit Guide. Cypress Semiconductor Corporation. 2018. Available at: http://www.cypress.com/file/45276/download.
dc.relation.urihttp://www
dc.relation.urihttp://www.cypress.com/file/45276/download
dc.rights.holder© Національний університет „Львівська політехніка“, 2021
dc.subjectмагнітний трекінг
dc.subjectвбудована система
dc.subjectсенсор доповненої реальності
dc.subjectmagnetic tracking
dc.subjectembedded system
dc.subjectaugmented reality sensor
dc.subject.udc621.382
dc.titleПристрої та моделі магнітного трекінгу для систем доповненої реальності
dc.title.alternativeDevices and models of magnetic tracking for augmented reality systems
dc.typeArticle

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Infocommunication Technologies and Electronic Engineering. – 2021. – Vol. 1, No. 2