Skip to main content
Log in

Research on the Perception of Roughness Based on Vibration

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

We design a novel vibrotactile display that can simulate texture of surface. On the haptic display, texture information is presented to the user’s fingertip by composing transverse vibration and longitudinal vibration. Experiments were carried out to investigate the haptic perception by using the vibrotactile device. The focus of this study is roughness, which is one of the fundamental features of texture. The first experiment was to detect the minimum amplitude that the observer could have the tactile feeling at different frequencies. The threshold gradually decreased with the increasing of frequency. The second experiment was to find out how the vibration parameters such as amplitude and frequency affected the roughness perception. The increase of amplitude leads to the increase of perceptual roughness. The third experiment was to investigate how to simulate textures by combining the parameters of vibrotactile stimulus. The participants regulated the amplitude and frequency of the vibrotactile stimulus until they got the haptic perception which was equal to the reference texture. They always used a vibrotactile stimulus with a high amplitude and a low frequency to describe the roughness of real object. And during the investigation they preferred to adjust amplitude rather than frequency, which means tactile perception is more sensitive to amplitude than to frequency. This paper illustrates the roughness rendering technique based on transverse vibration and longitudinal vibrations and provides suggestions on improving tactile perception.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

References

  1. Yang, T., Xie, D., Li, Z., et al. (2017). Recent advances in wearable tactile sensors: Materials, sensing mechanisms, and device performance. Material Science and Engineering, 115, 1–37.

    Article  Google Scholar 

  2. Zhong, Q., Zhong, J., & Cheng, X. (2015). Paper-based active tactile sensor array. Advanced Electronic Materials, 27(44), 7130–7136.

    Article  Google Scholar 

  3. Whitaker, T. A., Simões-Franklin, C., & Newell, F. N. (2008). Vision and touch: Independent or integrated systems for the perception of texture? Brain Research, 1242, 59–72.

    Article  Google Scholar 

  4. Garcia-Hernandez, N., Sarakoglou, I., Tsagarakis, N., et al. (2012). Exploration of virtual surface features with a high performance tactile and force feedback interface. In IEEE international conference on systems, man, and cybernetics, Seoul, South Korea, pp. 2998–3003.

  5. Yang, Z., Pang, Y., & Zhang, L. (2016). Tribotronic transistor array as an active tactile sensing system. ACS Nano, 10(12), 10912–10920.

    Article  Google Scholar 

  6. Sarakoglou, I., Garcia-Hernandez, N., Tsagarakis, N., et al. (2012). A high performance tactile feedback display and its integration in teleoperation. IEEE Transactions on Haptics, 5(3), 252–263.

    Article  Google Scholar 

  7. Sarakoglou, I., Garcia-Hernandez, N., Tsagarakis, N. G., et al. (2012). Integration of a tactile display in teleoperation of a soft robotic finger using model based tactile feedback. In IEEE/RSJ international conference on intelligent robots and systems, Vilamoura, Portuga, pp. 46–51.

  8. Garcia-Hernandez, N. V., Tsagarakis, N., Sarakoglou, I., et al. (2010). Psychophysical evaluation of a low density and portable tactile device displaying small-scale surface features. In International conference on haptics: generating and perceiving tangible sensations: Part II, Amsterdam, Netherlands, pp. 50–57.

  9. Garcia-Hernandez, N., Sarakoglou, I., Tsagarakis, N., et al. (2011). Orientation discrimination of patterned surfaces through an actuated and non-actuated tactile display. In World haptics conference, Istanbul, Turkey, pp. 599–604.

  10. Prattichizzo, D., Chinello, F., Pacchierotti, C., et al. (2013). Towards wearability in fingertip haptics: A 3-DoF wearable device for cutaneous force feedback. IEEE Transactions on Haptics, 6(4), 506–516.

    Article  Google Scholar 

  11. Kappassov, Z., Corrales, J.-A., & Perdereau, V. (2015). Tactile sensing in dexterous robot hands—Review. Robotics and Autonomous Systems, 74, 195–220.

    Article  Google Scholar 

  12. Sarakoglou, I., Tsagarakis, N. G., & Caldwell, D. G. (2012). A compact tactile display suitable for integration in VR and teleoperation. In IEEE international conference on robotics and automation (Vol. 44, No. 8, pp. 1018–1024), St. Paul, Minnesota, USA.

  13. Kajimoto, H. (2012). Electro-tactile display with real-time impedance feedback. IEEE Transactions on Haptics, 5(2), 184–188.

    Article  Google Scholar 

  14. Ho, H., & Jones, L. A. (2007). Development and evaluation of a thermal display for material identification and discrimination. ACM Transactions on Applied Perception, 4, 1–24.

    Article  Google Scholar 

  15. Silvera-Tawil, D., Rye, D., & Velonaki, M. (2015). Artificial skin and tactile sensing for socially interactive robots: A review. Robotics and Autonomous Systems, 63, 230–243.

    Article  Google Scholar 

  16. Chen, S., Ge, S., & Tang, W. (2015). Tactile perception of fabrics with an artificial finger compared to human sensing. Textile Research Journal, 85(20), 2177–2187.

    Article  Google Scholar 

  17. Lawson, R. (2014). Recognizing familiar objects by hand and foot: Haptic shape perception generalizes to inputs from unusual locations and untrained body parts. Attention Perception and Psychophysical, 76(2), 541–558.

    Article  Google Scholar 

  18. Okamura, A. M. (2004). Methods for haptic feedback in teleoperated robot-assisted surgery. The Industrial Robot, 31, 499–508.

    Article  Google Scholar 

  19. Spironelli, C., Manfredi, M., & Angrilli, A. (2013). Beta EEG band: A measure of functional brain damage and language reorganization in aphasic patients after recovery. Cortex, 49(10), 2650–2660.

    Article  Google Scholar 

  20. Haans, A., de Bruijn, R., & IJsselsteijn, W. A. (2014). A virtual midas touch? Touch, compliance, and confederate bias in mediated communication. Journal of Nonverbal Behavior, 38(3), 301–311.

    Article  Google Scholar 

  21. Ellingsen, D.-M., Wessberg, J., Chelnokova, O., et al. (2014). In touch with your emotions: Oxytocin and touch change social impressions while others facial expressions can alter touch. Psychoneuroendocrinology, 39, 11–20.

    Article  Google Scholar 

  22. Rantala, J., Salminen, K., Raisamo, R., et al. (2013). Touch gestures in communicating emotional intention via vibrotactile stimulation. International Journal of Human-Computer Studies, 71(6), 679–690.

    Article  Google Scholar 

  23. Chulwook, Park, & Seonjin, Kim. (2014). Haptic perception accuracy depending on self-produced movement. Journal of Sports Sciences, 32(10), 974–985.

    Article  Google Scholar 

  24. Bing, Wu, Roberta, Klatzky, & Randy, Lee. (2015). Psychophysical evaluation of haptic perception under augmentation by a handheld device. Human Factors, 57(3), 523–537.

    Article  Google Scholar 

  25. Liviu-Cristian, Dutu, Gilles, Mauris, & Philippe, Bolon. (2015). A fuzzy rule-based model of vibrotactile perception via an automobile haptic screen. IEEE Transactions on Instrumentation and Measurement, 64(8), 2323–2333.

    Article  Google Scholar 

Download references

Acknowledgements

The authors acknowledge the Natural Science Foundation of Jiangsu Province, China (Grant: BK20170955).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xu Chen.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, X., Zhou, T. & Li, Y. Research on the Perception of Roughness Based on Vibration. Wireless Pers Commun 102, 909–917 (2018). https://doi.org/10.1007/s11277-017-5113-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-017-5113-3

Keywords

Navigation