Abstract
Human machine interaction (HMI) technologies have been widely applied to the fields of the complicated task assignment, biological health monitoring, prosthesis techniques, and clinical medicine. In this paper, different kinds of HMI modes are reviewed, such as tactile sensors, biological sensors, and multi-sensory data. Stretchable electronics integrated with multi-function sensors on the polydimethylsiloxane (PDMS) substrate are laminated onto the skin surface for collecting temperature, strain, pressure, biological signals simultaneously. More conformable and natural human-machine interaction methods would be realized, which will provide effective ways for human-robot interaction similar to human-to-human interaction, and finally drive the development of the coexisting-cooperative-cognitive robot (Tri-Co Robot) technology.
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
Uchida, S., Mori, A., Kurazume, R., Rin-Ichiro, T., Hasegawa, T., Sakoe, H.: Early Recognition and Prediction of Gestures for Proactive Human-Machine Interface. Technical report of IEICE PRMU, vol. 104, pp. 7–12 (2004)
Wang, X., Dong, L., Zhang, H., Yu, R., Pan, C., Wang, Z.L.: Recent progress in electronic skin. Adv. Sci. 2, 1–21 (2015)
Hammock, M.L., Chortos, A., Tee, B.C., Tok, J.B., Bao, Z.: 25th anniversary article: the evolution of electronic skin (e-skin): a brief history, design considerations, and recent progress. Adv. Mater. 25, 5997–6038 (2013)
Lipomi, D.J., et al.: Skin-like pressure and strain sensors based on transparent elastic films of carbon nanotubes. Nat. Nanotechnol. 6, 788–792 (2011)
Kim, D.H., et al.: Epidermal electronics. Science 333, 838–843 (2011)
Mannsfeld, S.C., et al.: Highly sensitive flexible pressure sensors with microstructured rubber dielectric layers. Nat. Mater. 9, 859–864 (2010)
Tee, B.C., Wang, C., Allen, R., Bao, Z.: An electrically and mechanically self-healing composite with pressure- and flexion-sensitive properties for electronic skin applications. Nat. Nanotechnol. 7, 825–832 (2012)
Shriver, S., Toth, A., Zhu, X., Rudnicky, A., Rosenfeld, R.: A unified design for human-machine voice interaction, pp. 247–248 (2001)
Wentao, D., Chen, Z., Wei, H., Lin, X., Yong’an, H.: Stretchable human-machine interface based on skin-conformal sEMG electrodes with self-similar geometry. J. Semicond. 39, 014001 (2018)
Dong, W., Zhu, C., Wang, Y., Xiao, L., Ye, D., Huang, Y.: Stretchable sEMG electrodes conformally laminated on skin for continuous electrophysiological monitoring. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds.) ICIRA 2017. LNCS (LNAI), vol. 10464, pp. 77–86. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-65298-6_8
Jeong, J.W., et al.: Capacitive epidermal electronics for electrically safe, long-term electrophysiological measurements. Adv. Healthc. Mater. 3, 642–648 (2014)
Mishra, S., et al.: Soft, conformal bioelectronics for a wireless human-wheelchair interface. Biosens. Bioelectron. 91, 796–803 (2017)
Kim, J., et al.: Stretchable silicon nanoribbon electronics for skin prosthesis. Nat. Commun. 5, 5747 (2014)
Wang, F.: Soft tactile sensors for human-machine interaction. In: Tao, X. (ed.) Handbook of Smart Textiles. Springer, Singapore (2015). https://doi.org/10.1007/978-981-4451-45-1_26
Yu, P., Liu, W., Gu, C., Cheng, X., Fu, X.: Flexible piezoelectric tactile sensor array for dynamic three-axis force measurement. Sensors 16, 819 (2016)
Gao, L., et al.: Epidermal photonic devices for quantitative imaging of temperature and thermal transport characteristics of the skin. Nat. Commun. 5, 4938 (2014)
Pradel, K.C., Wu, W., Ding, Y., Wang, Z.L.: Solution-derived ZnO homojunction nanowire films on wearable substrates for energy conversion and self-powered gesture recognition. Nano Lett. 14, 6897–6905 (2014)
Dong, W., Xiao, L., Hu, W., Zhu, C., Huang, Y., Yin, Z.: Wearable human–machine interface based on PVDF piezoelectric sensor. Trans. Instit. Meas. Control 39, 398–403 (2017)
Takei, K., et al.: Nanowire active-matrix circuitry for low-voltage macroscale artificial skin. Nat. Mater. 9, 821–826 (2010)
Ying, M., et al.: Silicon nanomembranes for fingertip electronics. Nanotechnology 23, 344004 (2012)
Jeong, S.H., Zhang, S., Hjort, K., Hilborn, J., Wu, Z.: PDMS‐based elastomer tuned soft, stretchable, and sticky for epidermal electronics. Adv. Mater. (2016)
Liu, Y., et al.: Epidermal mechano-acoustic sensing electronics for cardiovascular diagnostics and human-machine interfaces. Science Advances 2, e1601185–e1601185 (2016)
Jeong, J.W., et al.: Materials and optimized designs for human-machine interfaces via epidermal electronics. Adv. Mater. 25, 6839–6846 (2013)
Zhou, Y., Wang, Y., Liu. R., Lin, X., Zhang, Q., Huang, Y.: Multichannel noninvasive human–machine interface via stretchable µ m thick sEMG patches for robot manipulation. J.Micromech. Microeng. 28, 014005 (2018)
Jin, L., Xian, H., Jiang, Y., Niu, Q., Xu, M., Yang, D.: Research on evaluation model for secondary task driving safety based on driver eye movements. Adv. Mech. Eng. 6, 624561 (2015)
Sigari, M.-H., Pourshahabi, M.-R., Soryani, M., Fathy, M.: A review on driver face monitoring systems for fatigue and distraction detection. Int. J. Adv. Sci. Technol. 64, 73–100 (2014)
Guo, X., et al.: A human-machine interface based on single channel EOG and patchable sensor. Biomed. Signal Process. Control 30, 98–105 (2016)
Wolpaw, J.R., et al.: Brain-computer interface technology: a review of the first international meeting. IEEE Trans. Rehabil. Eng. 8, 164–173 (2000)
Norton, J.J., et al.: Soft, curved electrode systems capable of integration on the auricle as a persistent brain-computer interface. Proc. Natl. Acad. Sci. U.S.A. 112, 3920 (2015)
Xu, B., et al.: An epidermal stimulation and sensing platform for sensorimotor prosthetic control, management of lower back exertion, and electrical muscle activation. Adv. Mater. 28, 4462–4471 (2015)
Acknowledgement
The authors also acknowledge supports from the National Natural Science Foundation of China (51635007), Program for HUST Academic Frontier Youth Team, and Special Project of Technology Innovation of Hubei Province. (2017AAA002). The authors would like to thank Flexible Electronics Manufacturing Laboratory in Comprehensive Experiment Center for Advanced Manufacturing and Equipment Technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Dong, W., Huang, Y., Yin, Z., Zhou, Y., Chen, J. (2018). Stretchable Tactile and Bio-potential Sensors for Human-Machine Interaction: A Review. In: Chen, Z., Mendes, A., Yan, Y., Chen, S. (eds) Intelligent Robotics and Applications. ICIRA 2018. Lecture Notes in Computer Science(), vol 10984. Springer, Cham. https://doi.org/10.1007/978-3-319-97586-3_14
Download citation
DOI: https://doi.org/10.1007/978-3-319-97586-3_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-97585-6
Online ISBN: 978-3-319-97586-3
eBook Packages: Computer ScienceComputer Science (R0)