Advertisement

Lab-Forming Fields and Field-Forming Labs

  • Takeshi KurataEmail author
  • Ryosuke Ichikari
  • Ching-Tzun Chang
  • Masakatsu Kourogi
  • Masaki Onishi
  • Takashi Okuma
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10371)

Abstract

This paper presents the concept of Lab-Forming Fields (LFF) and Field-Forming Labs (FFL). LFF is to transform real service fields into lab-like places for bringing research methodologies in laboratories to real fields with IoT. FFL is to transform laboratories into real-field-like places for getting subjects’ behavior and experimental results closer and closer to the ones which are supposed to be obtained in the real service fields with VR. In addition, this paper provides a summary table of previously conducted researches in AIST on LFF and FFL with geospatial computing.

Keywords

Lab-Forming fields Field-Forming labs Internet of things Geospatial IoT MAR Big data Deep data Comb data 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Notes

Acknowledgement

This research is partially supported by JST’s Program on Open Innovation Platform with Enterprises, Research Institute and Academia (OPERA).

References

  1. 1.
    Kourogi, M., Kurata, T.: Personal positioning based on walking locomotion analysis with self-contained sensors and a wearable camera. In: Proc. ISMAR 2003, pp. 103–112 (2003)Google Scholar
  2. 2.
    Ichikari, R., Ruiz, L.C.M., Kourogi, M., Kitagawa, T., Yoshii, S., Kurata, T.: Indoor floor-level detection by collectively decomposing factors of atmospheric pressure. In: Proc. IPIN 2015, 11p. (2015)Google Scholar
  3. 3.
    Ishikawa, T., Kourogi, M., Kurata, T.: Economic and Synergistic Pedestrian Tracking System with Service Cooperation for Indoor Environments. Proc. International Journal of Organizational and Collective Intelligence 2(1), 1–20 (2011)CrossRefGoogle Scholar
  4. 4.
    Miyagi, Y., Onishi, M., Watanabe, C., Itoh, T., Takatsuka, M.: Feature Extraction and Visualization for Symbolic People Flow Data. In: International Conference Information Visualisation (IV 2016) (2016)Google Scholar
  5. 5.
    A.J. Davison, N. Kita, 3D simultaneous localisation and map-building using active vision for a robot moving on undulating terrain, Proc. CVPR 2001, 8 pages, 2001Google Scholar
  6. 6.
    Ishikawa, T., Thangamani, K., Kourogi, M., Gee, A.P., Mayol-Cuevas, W., Hyun, J., Kurata, T.: Interactive 3-D Indoor Modeler for Virtualizing Service Fields. Virtual Reality 17(2), 89–109 (2013)CrossRefGoogle Scholar
  7. 7.
    Takenaka, T., Koshiba, H. and Motomura, Y., Development strategy of service engineering for retail and restaurant services. In: The Philosopher’s Stone for Sustainability (Proceedings of the 4th CIRP International Conference on Industrial Product Service Systems), pp.121–124 (2012)Google Scholar
  8. 8.
    Tenmoku, R. , Ueoka, R., Makita, K., Shimmura, T., Takehara, M., Tamura, S., Hayamizu, S., Kurata, T.: Service-Operation Estimation in a Japanese Restaurant Using Multi-Sensor and POS Data. In: Proceeding of APMS 2011 Conference, Parallel 3-4: 1 (2011)Google Scholar
  9. 9.
    Makita, K., Kourogi, M., Ishikawa, T., Okuma, T., Krata, T.: PDRplus: human behaviour sensing method for service field analysis. In: Proc. ICServ 2013, pp.19–22 (2013)Google Scholar
  10. 10.
    Kato, K., Okuma, T., Kurata, T.: Proposing an interactive label attaching system for supervised service operation estimation. In: Proceedings of ICServ 2016, pp. 281–287 (2016)Google Scholar
  11. 11.
    Fukuhara, T., Tenmoku, R., Okuma, T., Ueoka, R., Takehara, M., Kurata, T.: Improving service processes based on visualization of human-behavior and POS data: a Case Study in a Japanese restaurant. In: Proc. ICServ 2013, pp. 1–8 (2013)Google Scholar
  12. 12.
    Fukuhara, T., Tenmoku, R., Ueoka, R., Okuma, T., Kurata, T.: Estimating skills of waiting staff of a restaurant based on behavior sensing and POS data analysis: A case study in a Japanese cuisine restaurant. In: Proc. AHFE 2014, pp. 4287–4299 (2014)Google Scholar
  13. 13.
    Okuma, T., Fukuhara, T., Ichikari, R., Chang, C.-T., Carlos, M., Shinmura, T., Kurata, T.: Role of Servicing Activity Visualization in Quality Control Circle. In: Proc. ICServ 2015, 6p. (2015)Google Scholar
  14. 14.
    Myokan, T., Matsumoto, M., Okuma, T., Ichikari, R., Kato, K., Ota, D., Kurata, T.: Pre-evaluation of Kaizen plan considering efficiency and employee satisfaction by simulation using data assimilation -Toward constructing Kaizen support framework. In: Proc. ICServ 2016, 7 p. (2016)Google Scholar
  15. 15.
    Makita, K., Vincent, T., Ebisuno, S., Kourogi, M., Ishikawa, T., Okuma, T., Yoshida, M., Nigay, L., Kurata, T.: Mixed reality navigation on a tablet computer for supporting machine maintenance in wide-area indoor environment. In: Proceedings of ICServ 2014, pp. 41–47 (2014)Google Scholar
  16. 16.
    Chang, C.-T., Ichikari, R., Makita, K., Okuma, T., Kurata, T.: [POSTER] Road Maintenance MR System Using LRF and PDR. In: Proc. ISMAR 2015, pp.204–205 (2015)Google Scholar
  17. 17.
    Nakajima, M., Yamada, K. C., Kitajima, M.: Cognitive Chrono-Ethnography Lite. Work: A Journal of Prevention, Assessment and Rehabilitation. IEA 2012: 18th World Congress on Ergonomics - Designing a Sustainable Future 41, 617– 622 (2012)Google Scholar
  18. 18.
    Hyun, J., Habuchi, Y., Park, A., Ishikawa, T., Kourogi, M., Kurata, T.: Service-Field simulator using mr techniques: behavior comparison in real and virtual environments. In: Proceedings on ICAT 2010, pp. 14–21 (2010)Google Scholar
  19. 19.
    Okuma, T., Kurata, T.: Service Field Simulator: virtual environment display system for analyzing human behavior in service fields. In: Proceedings of ICServ 2014, pp. 55–60, (2014)Google Scholar
  20. 20.
    Takeda, Y., Okuma, T., Kimura, M., Kurata, T., Takenaka, T., Iwaki, S.: Electrophysiological measurement of interest during walking in a simulated environment. International Journal of Psychophysiology 93(3), 363–370 (2014)CrossRefGoogle Scholar
  21. 21.
    Ibayashi, H., Sugiura, Y., Sakamoto, D., Miyata, N., Tada, M., Okuma, T., Kurata, T., Mochimaru, M., Igarashi, T.: Dollhouse VR: a multi-view, multi-user collaborative design workspace with VR technology. In: SIGGRAPH Asia 2015 Emerging Technologies (SA 2015), Article 8, 2 p. ACM (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Takeshi Kurata
    • 1
    Email author
  • Ryosuke Ichikari
    • 1
  • Ching-Tzun Chang
    • 1
  • Masakatsu Kourogi
    • 1
  • Masaki Onishi
    • 1
  • Takashi Okuma
    • 1
  1. 1.AISTTsukubaJapan

Personalised recommendations