TY - GEN
T1 - Real-time emotional state estimation system for Canines based on heart rate variability
AU - Hamada, Ryunosuke
AU - Ohno, Kazunori
AU - Matsubara, Satoko
AU - Hoshi, Tatsuya
AU - Nagasawa, Miho
AU - Kikusui, Takefumi
AU - Kubo, Takatomi
AU - Nakahara, Eri
AU - Ikeda, Kazushi
AU - Yamaguchi, Shumpei
AU - Yamakawa, Toshitaka
AU - Tadokoro, Satoshi
N1 - Funding Information:
This work was supported by the ImPACT Program of Council for Science, Technology and Innovation (Cabinet Office, Government of Japan) under a project of the Tough Robotics Challenge.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - 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.
AB - 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.
KW - Canine emotional state
KW - Cyber-physical biosystem
KW - Machine learning
KW - Rescue robotics
KW - Wearable device
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U2 - 10.1109/CBS.2017.8266120
DO - 10.1109/CBS.2017.8266120
M3 - Conference contribution
AN - SCOPUS:85050471574
T3 - 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
SP - 298
EP - 303
BT - 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Cyborg and Bionic Systems, CBS 2017
Y2 - 17 October 2017 through 19 October 2017
ER -