Abstract
Augmented Reality (AR) based on head-mounted displays (HMDs) represent the most ergonomic and efficient solution for aiding complex manual tasks performed under direct vision and it is considered an enabling technology of the fourth industrial revolution (Industry 4.0). This work intends to give a harmonized and consistent overview of the workflow carried out so far in the framework of the European Project VOSTARS towards the development of a novel AR HMD specifically designed to aiding complex manual tasks within arm’s reach. First results and future developments are being presented.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ong, S.K., Yuan, M.L., Nee, A.Y.C.: Augmented reality applications in manufacturing: a survey. Int. J. Prod. Res. 46, 2707–2742 (2008)
Henderson, S., Feiner, S.: Exploring the benefits of augmented reality documentation for maintenance and repair. IEEE Trans. Vis. Comput. Graph. 17, 1355–1368 (2011)
Nee, A.Y.C., Ong, S.K., Chryssolouris, G., Mourtzis, D.: Augmented reality applications in design and manufacturing. CIRP Ann.-Manuf. Technol. 61, 657–679 (2012)
Wang, X., Ong, S.K., Nee, A.Y.C.: A comprehensive survey of augmented reality assembly research. Adv. Manuf. 4, 1–22 (2016)
Bower, M., Howe, C., McCredie, N., Robinson, A., Grover, D.: Augmented reality in education - cases, places, and potentials. In: IEEE Annual International Conference (2013)
Radu, I.: Augmented reality in education: a meta-review and cross-media analysis. Pers. Ubiquit. Comput. 18, 1533–1543 (2014)
Bacca, J., Baldiris, S., Fabregat, R., Graf, S.: Kinshuk: augmented reality trends in education: a systematic review of research and applications. Educ. Technol. Soc. 17, 133–149 (2014)
Qu, M., et al.: Precise positioning of an intraoral distractor using augmented reality in patients with hemifacial microsomia. J. Cranio Maxill. Surg. 43, 106–112 (2015)
Voinea, A., Moldoveanu, A., Moldoveanu, F.: Efficient learning technique in medical education based on virtual and augmented reality. In: ICERI Proceedings, pp. 8757–8764 (2016)
Meola, A., Cutolo, F., Carbone, M., Cagnazzo, F., Ferrari, M., Ferrari, V.: Augmented reality in neurosurgery: a systematic review. Neurosurg. Rev. 40, 537–548 (2017)
Kersten-Oertel, M., Jannin, P., Collins, D.L.: The state of the art of visualization in mixed reality image guided surgery. Comput. Med. Imaging Graph. 37, 98–112 (2013)
Fida, B., Cutolo, F., di Franco, G., Ferrari, M., Ferrari, V.: Augmented reality in open surgery. Updates Surg. 70, 389–400 (2018)
Eckert, M., Volmerg, J.S., Friedrich, C.M.: Augmented reality in medicine: systematic and bibliographic review. JMIR mHealth uHealth 7, e10967 (2019)
Ferreira Reis, A., Wirth, G.J., Iselin, C.E.: Augmented reality in urology: present and future. Rev. Med. Suisse 14, 2154–2157 (2018)
Yoon, J.W., et al.: Augmented reality for the surgeon: Systematic review. Int. J. Med. Robot. Comput. Assist. Surg. MRCAS 14, e1914 (2018)
Dunn, J., Yeo, E., Moghaddampour, P., Chau, B., Humbert, S.: Virtual and augmented reality in the treatment of phantom limb pain: a literature review. Neurorehabilitation 40, 595–601 (2017)
Cutolo, F., et al.: A new head-mounted display-based augmented reality system in neurosurgical oncology: a study on phantom. Comput. Assist. Surg. 22, 39–53 (2017)
Cutolo, F., Freschi, C., Mascioli, S., Parchi, P., Ferrari, M., Ferrari, V.: Robust and accurate algorithm for wearable stereoscopic augmented reality with three indistinguishable markers. Electronics 5, 59 (2016)
Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., MacIntyre, B.: Recent advances in augmented reality. IEEE Comput. Graph. Appl. 21, 34–47 (2001)
Cutolo, F., Badiali, G., Ferrari, V.: Human-PnP: ergonomic AR interaction paradigm for manual placement of rigid bodies. In: Linte, C.A., Yaniv, Z., Fallavollita, P. (eds.) AE-CAI 2015. LNCS, vol. 9365, pp. 50–60. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-24601-7_6
Cutolo, F., Carbone, M., Parchi, P.D., Ferrari, V., Lisanti, M., Ferrari, M.: Application of a new wearable augmented reality video see-through display to aid percutaneous procedures in spine surgery. In: De Paolis, L.T., Mongelli, A. (eds.) AVR 2016. LNCS, vol. 9769, pp. 43–54. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40651-0_4
Cutolo, F., Fontana, U., Carbone, M., D’Amato, R., Ferrari, V.: Hybrid video/optical see-through HMD. In: Adjunct Proceedings of the 2017 IEEE International Symposium on Mixed and Augmented Reality (Ismar-Adjunct), pp. 52–57 (2017)
Cutolo, F., Fontana, U., Ferrari, V.: Perspective preserving solution for quasi-orthoscopic video see-through HMDs. Technologies 6, 9 (2018)
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2003)
Tomioka, M., Ikeda, S., Sato, K.: Approximated user-perspective rendering in tablet-based augmented reality. In: International Symposium on Mixed and Augmented Reality, pp. 21–28 (2013)
Fontana, U., Cutolo, F., Cattari, N., Ferrari, V.: Closed – loop calibration for optical see-through near eye display with infinity focus. In: Adjunct Proceedings of the 2018 IEEE International Symposium on Mixed and Augmented Reality (2018)
Acknowledgments
Funded BY THE HORIZON2020 Project VOSTARS, Project ID: 731974. Call: ICT-29-2016 - Photonics KET 2016.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Cutolo, F., Cattari, N., Fontana, U., Ferrari, V. (2019). Towards the Development of a Quasi-Orthoscopic Hybrid Video/Optical See-Through HMD for Manual Tasks. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2019. Lecture Notes in Computer Science(), vol 11614. Springer, Cham. https://doi.org/10.1007/978-3-030-25999-0_15
Download citation
DOI: https://doi.org/10.1007/978-3-030-25999-0_15
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-25998-3
Online ISBN: 978-3-030-25999-0
eBook Packages: Computer ScienceComputer Science (R0)