Real-time emotional state estimation system for Canines based on heart rate variability

Ryunosuke Hamada, Kazunori Ohno, Satoko Matsubara, Tatsuya Hoshi, Miho Nagasawa, Takefumi Kikusui, Takatomi Kubo, Eri Nakahara, Kazushi Ikeda, Shumpei Yamaguchi, Toshitaka Yamakawa, Satoshi Tadokoro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Search and rescue (SAR) dogs are widely used to locate victims at disaster sites. The efficiency of SAR missions can be greatly enhanced if a canine's emotional states, including their motivation to search, can be remotely estimated in real time. In this study, we developed a real-time emotion estimation system for canines based on measured electrocardiography signals. This proposed system measures a canine's heartbeat intervals using a specially developed canine suit equipped with an electrocardiography device. Using the online heartbeat interval measurements, the system calculates time domain indices of heart rate variability, which are used to classify the canine's emotional state as positive or negative. To support visualization, the system presents the heart rate and estimated emotional state graphically in real time. The real-time emotion estimation system for canines proposed in this study was evaluated using a series of experiments. Bland-Altman analysis showed that online heartbeat interval measurements were consistent with offline heartbeat interval measurements when the canine was at rest or standing still. The proposed system was confirmed operational outdoors in real time and thus has the potential to enhance the efficiency of SAR missions that use canines.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages298-303
Number of pages6
ISBN (Electronic)9781538631942
DOIs
Publication statusPublished - 2017 Jul 2
Event2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017 - Beijing, China
Duration: 2017 Oct 172017 Oct 19

Publication series

Name2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
Volume2018-January

Other

Other2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
CountryChina
CityBeijing
Period17/10/1717/10/19

Keywords

  • Canine emotional state
  • Cyber-physical biosystem
  • Machine learning
  • Rescue robotics
  • Wearable device

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization

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  • Cite this

    Hamada, R., Ohno, K., Matsubara, S., Hoshi, T., Nagasawa, M., Kikusui, T., Kubo, T., Nakahara, E., Ikeda, K., Yamaguchi, S., Yamakawa, T., & Tadokoro, S. (2017). Real-time emotional state estimation system for Canines based on heart rate variability. In 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017 (pp. 298-303). (2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CBS.2017.8266120