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Movement-Mediated Communication Between Human and Machine

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Advances in Industrial Design (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 260))

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Abstract

This paper proposes Mahalanobis Distance – Pattern approach for human machine teamworking. IoT insists that humans and machines work together on the same team. But to realize this, humans and machines need to communicate. Up to now, machines move based on human instructions and their worlds are separate. But if it comes to human-machine teaming, what we share with machines is movement. Therefore, we developed Mahalanobis Distance-Pattern approach by utilizing ordinal scale Mahalanobis Distance and temporal variation of dynamic movement data. This is Non-Euclidean approach. So, it works very good for making strategic decisions how to achieve better movements.

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References

  1. Bernstein, N.A.: The Co-ordination and Regulation of Movements. Pergamon Press, Oxford (1967)

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  2. Mahalanobis, P.C.: On the Generalized Distance in Statistics, 2(1), 5599 (1936)

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  3. Kostov, V., Fukuda, S., Johansson, M.: Method for simple extraction of paralinguistic features in human face. Image Vis. Comput. J. Inst. Image Electr. Eng. Jpn 30(2), 111–125 (2001)

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  4. Taguchi, G., Chowdhury, S., Wu, Y.: The Mahalanobis-Taguchi System. McGraw-Hill Professional, New York (2001)

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Fukuda, S. (2021). Movement-Mediated Communication Between Human and Machine. In: Shin, C.S., Di Bucchianico, G., Fukuda, S., Ghim , YG., Montagna, G., Carvalho, C. (eds) Advances in Industrial Design. AHFE 2021. Lecture Notes in Networks and Systems, vol 260. Springer, Cham. https://doi.org/10.1007/978-3-030-80829-7_88

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  • DOI: https://doi.org/10.1007/978-3-030-80829-7_88

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-80828-0

  • Online ISBN: 978-3-030-80829-7

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