Skip to main content
SpringerLink
Log in

Wiping the mouth using the robot arm with information of RGB-D sensor

  • Original Article
  • Published:
Artificial Life and Robotics Aims and scope Submit manuscript

Abstract

In recent years, research and development of robots in the field of welfare has been actively conducted. This study focused on a meal support in welfare. For healthy subjects, the action on meals is simple, but also includes difficult movements for those with impaired upper limbs. Furthermore, in recent years, it has become difficult to support each person due to the lack of manpower at welfare sites. Therefore, it can be expected that further support robots will be needed in the future. A meal support is not all that carries food. There is a need to support before and after that. For example, making it easier to swallow food, making food easier to eat, attaching seasoning, wiping off stains on the mouth are also among the dietary support. This study focuses on support before and after meal support. In this study, we aimed to promote swallowing gymnastics before meals to make it easy to swallow food, and to do the work of wiping the mouth after eating with a robot arm.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. Kobayashi H, Shiiba T, Konishi K (2004) Development of feeding support system and its quantitative estimation. Trans JSME(C) 70(699):3252–3259 (in Japanese)

    Article  Google Scholar 

  2. Makino T, Ikeda T, Oka T (2016) Experiment of wiping the mouth with the napkin using a robot arm and KINECT v1. In: Proc. of annual conference of JSME 2016, G1500305, (in Japanese)

  3. Demura K (2007) Robot simulation. Morikita Publishing Co., Ltd., Japan, pp 146–182 (in Japanese)

    Google Scholar 

  4. Nakamura K, Sugiura T, Takada T, Ueda T (2015) KINECT for windows SDK programing kinect for windows v2. Shuwa System Co., Ltd, Tokyo, pp 180–207 (in Japanese)

    Google Scholar 

  5. Eating and Swallowing (2017) https://ha-kyokasho.com/tooth-trouble-6125. Accessed 27 Feb 2017, (in Japanese)

  6. Bisous Darling (2016) http://bisousdarling.blogspot.jp/2013/01/red-lips-tutorial.html. Accessed 7 July 2016, (in Japanese)

  7. Ishii I, Ichida T, Gu Q, Takeshi T (2013) 500-fps face tracking system. J Real Time Image Process 8(4):379–388

    Article  Google Scholar 

  8. Qingyi G, Aoyama T, Takaki T, Ishii I (2015) Simultaneous vision-based shape and motion analysis of cells fast-flowing in a microchannel. IEEE Trans Autom Sci Eng 12(1):204–215

    Article  Google Scholar 

  9. Viola P, Jones MJ (2004) Robust real-time face detection. Int J Comput Vis 57(2):137–154

    Article  Google Scholar 

  10. Vondrick C, Khosla A, Malisiewicz T, Torralba A (2013) HOGgles: visualizing object detection features. In: International conference on computer vision, pp 1–8

  11. Kim J, Lee I, Kim J (2015) Implementation of an omnidirectional human motion capture system using multiple kinect sensors. In: IEICE transaction fundamentals, vol. E98-A-9, pp 2004–2008

Download references

Author information

Authors and Affiliations

  1. Sanyo-Onoda City University, Daigaku-dori 1-1-1, Sanyo-Onoda, Yamaguchi, Japan

    Takeshi Ikeda & Fusaomi Nagata

  2. National Institute of Technology, Kitakyushu College, Shii 5-20-1, Kokuraminamiku, Kitakyushu, Fukuoka, Japan

    Seiji Furuno

  3. Graduate School of Engineering, Tokyo University of Science, 6-3-1 Niijuku, Katsushika-ku, Tokyo, Japan

    Tetsuhiro Makino

Authors
  1. Takeshi Ikeda
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tetsuhiro Makino
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Seiji Furuno
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Fusaomi Nagata
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Takeshi Ikeda.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations'.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ikeda, T., Makino, T., Furuno, S. et al. Wiping the mouth using the robot arm with information of RGB-D sensor. Artif Life Robotics 24, 360–367 (2019). https://doi.org/10.1007/s10015-019-00533-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10015-019-00533-1

Keywords

Search

Navigation