Abstract
Indonesia’s rare animals are animals whose habitats exist only in Indonesia and are endangered by IUCN (International Union for Conservation of Nature and Natural Resources). In this study, we applied Augmented Reality (AR) technology to represent the endangered species in Indonesia combined with image processing techniques as the interaction between users and the virtual objects of endangered animals. The initial stage is the separation of the desired object from the background with the help of HSV colour method, as well as detecting contour with contour detector. As for the calculation of the number of fingers we are using convex hull and convexity defects. The results of this stage is the number of fingers that will be used as a reference selection of endangered animal. These series of processes generates an augmented reality application where users can view and provide instructions with virtual objects of endangered species of Indonesia. This can provide a different experience for users to learn about Indonesia’s endangered species.
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
References
Iqbal, M., Kurnia, M.P., Susanti, E.: Tinjauan Yuridis Terhadap Kepemilikan dan Penjualan Satwa Langka Izin di Indonesia. (Analysis of Endangerd Animals and its Selling in Indonesia) Skripsi. Universitas Mulawarman (2014)
Brotos, A.: Interactive Augmented Reality Panel Interface for Android. Stanford University (2015)
Amin, D., Govilkar, S.: Comprative study of augmented reality SDK’s. Int. J. Comput. Sci. Appl. (IJCSA) 5(1), 11–26 (2015)
Benabderrahim, K., Bouhlel, M,S.: Detecting and tracking the hand to create an augmented reality system. IOSR J. Comput. Eng. (IOSR-JCE) (2014)
Bhatt, R., Fernandes, N., Dhage, A.: Vision based hand gesture recognition for human computer interaction. Int. J. Eng. Sci. Innov. Technol. (IJESIT) 2(3), 110–115 (2013)
Bikos, Mario, Itoh, Yuta, Klinker, Gudrun, Monstakas, Konstantinos: An Interactive Augmented Reality Chess Game using Bare-H and Pinch Gestures. University of Patras, Tesis (2014)
Dhawan, A., Honrao, V.: Implementation of hand detection based techniques for human computer interaction. Int. J. Comput. Appl. (0975 – 8887) 72(17), 6–13 (2013)
Seo, D.W., Lee, J.Y.: Direct Hand Touchable Interactions in Augmented Reality Environments for Natural and Intuitive User Experiences. Chonnam National University, Tesis (2013)
Ramjan, M.R., Sandip, R.M., Uttam, P.S., Srimani, W.S.: Dynamic hand gesture recognition and detection for real time using human computer interaction. Int. J. Adv. Res. Comput. Sci. Manag. Stud. (IJARCSMS) 2(3), 425–430 (2014)
Syahputra, Mohammad Fadly, Siregar, Ridho K., Rahmat, Romi Fadillah: Finger recognition as interaction media in augmented reality for historical buildings in matsum and kesawan regions of Medan city. In: De Paolis, Lucio Tommaso, Bourdot, Patrick, Mongelli, Antonio (eds.) AVR 2017. LNCS, vol. 10325, pp. 243–250. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60928-7_21
Lee, T., Tobias, H.: Handy AR: Markerless Inspection of Augmented Reality Object Using FingerTip Tracking . Thesis. University of California (2007)
Lee, H., Tateyama, Y., Ogi, T.: Hand gesture recognition using blob detection for immersive projection display system. World Academy of Science, Engineering and Technology. Int. J. Computer, Electr. Autom. Control Inf. Eng. 6(2), 260–263 (2012)
Yesugade, K.D., Salunke, S., Shinde, K., Gaikwad, S., Shingare, M.: Hand motion recognition. Int. J. Technol. Exploring Eng. (IJITEE) 3(11), 55–61 (2014)
Youssef, M.M., Asari, K.V., Tompkins, R.C., Foytik, J.: Hull convexity defects features for human activity recognition. IEEE Applied Imagery Pattern Recognition Workshop (AIPR), pp. 1–7 (2010)
Rahmat, R.F., Chairunnisa, T., Gunawan, D., Sitompul, O.S.: Skin color segmentation using multi-color space threshold. In: 3rd International Conference on Computer and Information Sciences (ICCOINS), Kuala Lumpur, pp. 391–396 (2016)
Rai, M., Bhootna, V., Yadav, R.K.: Performance based algorithm for the detection and extraction of human skin. First International Conference on Futuristic Trend in Computational Analysis and Knowledge Management (ABLAZE), pp. 127–131 (2015)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Syahputra, M.F., Fatimah, S., Rahmat, R.F. (2018). Interaction on Augmented Reality with Finger Detection and Hand Movement Recognition. In: De Paolis, L., Bourdot, P. (eds) Augmented Reality, Virtual Reality, and Computer Graphics. AVR 2018. Lecture Notes in Computer Science(), vol 10851. Springer, Cham. https://doi.org/10.1007/978-3-319-95282-6_49
Download citation
DOI: https://doi.org/10.1007/978-3-319-95282-6_49
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-95281-9
Online ISBN: 978-3-319-95282-6
eBook Packages: Computer ScienceComputer Science (R0)