Skip to main content

Vibrotactile Feedback Improves Collision Detection in Fast Playback of First-Person View Videos

  • Conference paper
  • First Online:
Haptics: Science, Technology, and Applications (EuroHaptics 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10894))

Abstract

Fast playback of First-Person View (FPV) videos reduces watching time but it also increases the perceived intensity of camera trembling and makes transient events, such as collisions, less evident. Here we propose using camera vibrations as vibrotactile feedback to support collision detection in fast video playback. To preserve camera vibrations pitch during fast playback, we use Time-Scale Modification (TSM) methods developed for audio. We show that camera vibrations delivered to the palm of the dominant hand improved collision detection performance in a pilot study. We found that reducing the levels of terrain vibrations is beneficial for collision detection. Furthermore, we found that without vibrotactile feedback participants are likely to underestimate the number of collisions in a video. Our results suggest that vibrotactile feedback has potential to support the detection of transient events during fast playback of FPV videos.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Peker, K.A., Divakaran, A., Sun, H.: Constant pace skimming and temporal sub-sampling of video using motion activity. In: 2001 International Conference on Image Processing, Proceedings, vol. 3, pp. 414–417. IEEE (2001)

    Google Scholar 

  2. Peker, K.A., Divakaran, A.: Adaptive fast playback-based video skimming using a compressed-domain visual complexity measure. In: 2004 IEEE International Conference on Multimedia and Expo, ICME 2004, vol. 3, pp. 2055–2058. IEEE (2004)

    Google Scholar 

  3. Kopf, J., Cohen, M.F., Szeliski, R.: First-person hyper-lapse videos. ACM Trans. Graph. (TOG) 33(4), 78 (2014)

    Article  Google Scholar 

  4. Poleg, Y., Halperin, T., Arora, C., Peleg, S.: Egosampling: fast-forward and stereo for egocentric videos. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4768–4776 (2015)

    Google Scholar 

  5. Riley, J.M., Endsley, M.R.: The hunt for situation awareness: human-robot interaction in search and rescue. In: Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 48, pp. 693–697. SAGE Publications, Los Angeles, CA (2004)

    Article  Google Scholar 

  6. Kadous, M.W., Sheh, R.K.-M., Sammut, C.: Effective user interface design for rescue robotics. In: Proceedings of the 1st ACM SIGCHI/SIGART Conference on Human-Robot Interaction, pp. 250–257. ACM (2006)

    Google Scholar 

  7. Murphy, R.R., Tadokoro, S., Nardi, D., Jacoff, A., Fiorini, P., Choset, H., Erkmen, A.M.: Search and rescue robotics. In: Siciliano, B., Khatib, O. (eds.) Springer Handbook of Robotics, pp. 1151–1173. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-30301-5_51

    Chapter  Google Scholar 

  8. Gerovich, O., Marayong, P., Okamura, A.M.: The effect of visual and haptic feedback on computer-assisted needle insertion. Comput. Aided Surg. 9(6), 243–249 (2004)

    Google Scholar 

  9. Prewett, M.S., Elliott, L.R., Walvoord, A.G., Coovert, M.D.: A meta-analysis of vibrotactile and visual information displays for improving task performance. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 42(1), 123–132 (2012)

    Article  Google Scholar 

  10. Van der Burg, E., Olivers, C.N., Bronkhorst, A.W., Theeuwes, J.: Poke and pop: tactile-visual synchrony increases visual saliency. Neurosci. Lett. 450(1), 60–64 (2009)

    Article  Google Scholar 

  11. Van der Burg, E., Olivers, C.N., Bronkhorst, A.W., Theeuwes, J.: Pip and pop: nonspatial auditory signals improve spatial visual search. J. Exp. Psychol. Hum. Percept. Perform. 34(5), 1053 (2008)

    Article  Google Scholar 

  12. Driedger, J., Müller, M.: A review of time-scale modification of music signals. Appl. Sci. 6(2), 57 (2016)

    Article  Google Scholar 

  13. Amir, A., Ponceleon, D., Blanchard, B., Petkovic, D., Srinivasan, S., Cohen, G.: Using audio time scale modification for video browsing. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, p. 9-pp. IEEE (2000)

    Google Scholar 

  14. Fitzgerald, D.: Harmonic/percussive separation using median filtering. In: Proceedings of the 13th International Conference on Digital Audio Effects, DAFX10, Graz, Austria, pp. 246–253, September 2010

    Google Scholar 

  15. Driedger, J., Muller, M., Ewert, S.: Improving time-scale modification of music signals using harmonic-percussive separation. IEEE Signal Process. Lett. 21(1), 105–109 (2014)

    Article  Google Scholar 

  16. Paté, A., Boschi, L., Le Carrou, J.-L., Holtzman, B.: Categorization of seismic sources by auditory display: a blind test. Int. J. Hum. Comput. Stud. 85, 57–67 (2016)

    Article  Google Scholar 

  17. Snibbe, S.S., MacLean, K.E., Shaw, R., Roderick, J., Verplank, W.L., Scheeff, M.: Haptic techniques for media control. In: Proceedings of the 14th Annual ACM Symposium on User Interface Software and Technology, pp. 199–208. ACM (2001)

    Google Scholar 

  18. Hashimoto, Y., Kajimoto, H.: Slow motion replay of tactile sensation. In: Proceeding of IEEE ICAT, pp. 51–56 (2010)

    Google Scholar 

  19. Dice, L.R.: Measures of the amount of ecologic association between species. Ecology 26(3), 297–302 (1945)

    Article  Google Scholar 

  20. Sørensen, T.: A method of establishing groups of equal amplitude in plant sociology based on similarity of species and its application to analyses of the vegetation on danish commons. Biol. Skr. 5, 1–34 (1948)

    Google Scholar 

  21. Wobbrock, J.O., Findlater, L., Gergle, D., Higgins, J.J.: The aligned rank transform for nonparametric factorial analyses using only anova procedures. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 143–146. ACM (2011)

    Google Scholar 

  22. Collins, J., Imhoff, T.T., Grigg, P.: Noise-mediated enhancements and decrements in human tactile sensation. Phys. Rev. E 56(1), 923 (1997)

    Article  Google Scholar 

Download references

Acknowledgments

This research was partially supported by ImPACT Program “Tough Robotics Challenge”.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Daniel Gongora .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gongora, D., Nagano, H., Konyo, M., Tadokoro, S. (2018). Vibrotactile Feedback Improves Collision Detection in Fast Playback of First-Person View Videos. In: Prattichizzo, D., Shinoda, H., Tan, H., Ruffaldi, E., Frisoli, A. (eds) Haptics: Science, Technology, and Applications. EuroHaptics 2018. Lecture Notes in Computer Science(), vol 10894. Springer, Cham. https://doi.org/10.1007/978-3-319-93399-3_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-93399-3_54

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93398-6

  • Online ISBN: 978-3-319-93399-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics