TY - GEN
T1 - Disp2ppg
T2 - 25th ACM International Symposium on Wearable Computers, ISWC 2021
AU - Fujii, Atsuhiro
AU - Murao, Kazuya
AU - Matsuhisa, Naoji
N1 - Funding Information:
Part of this work was supported by the Japan Science and Technology Agency PRESTO (JPMJPR1937) (JPMJPR20B7), The Takano Science Foundation, Yazaki Memorial Foundation for Science and Technology, and Tateishi Science and Technology Foundation. We thank Dr. Shuhei Tsuchida at Kobe University for connecting us to this collaborative research.
Publisher Copyright:
© 2021 ACM.
PY - 2020/9/21
Y1 - 2020/9/21
N2 - Wearable devices are often used to record the user's biometric information. Among biometric data, pulse data has been used in methods such as heart rate monitoring and emotion estimation. The most common type of pulse sensor is the photoplethysmogram (PPG), which irradiates a green LED on the skin and measures pulse data from changes in the light reflected through the blood vessels. PPG sensors have been implemented in commercially available wearable devices such as smartwatches. When a smartwatch is worn on an artificial body such as a prosthetic hand or a robotic arm, correct data cannot be acquired because there is no blood flow. In this study, we propose a method that enables the PPG sensor to measure arbitrary pulse data using a display. If this method is successful, it will be possible to input pulse data measured at the junction of the live body and the prosthetic hand to the display, and have the smartwatch attached to the prosthetic hand read the same pulse data. In this paper, we focus on the heart rate and report the results of an experiment in which a target heart rate was input and the display was controlled to determine whether the target heart rate could be obtained by a smartwatch. We implemented a display drawing program and conducted the evaluation using five kinds of smartwatches and four kinds of displays. Results showed that the error between the target heart rate and the heart rate acquired by the smartwatch was within ± 3 beats per minute in many cases.
AB - Wearable devices are often used to record the user's biometric information. Among biometric data, pulse data has been used in methods such as heart rate monitoring and emotion estimation. The most common type of pulse sensor is the photoplethysmogram (PPG), which irradiates a green LED on the skin and measures pulse data from changes in the light reflected through the blood vessels. PPG sensors have been implemented in commercially available wearable devices such as smartwatches. When a smartwatch is worn on an artificial body such as a prosthetic hand or a robotic arm, correct data cannot be acquired because there is no blood flow. In this study, we propose a method that enables the PPG sensor to measure arbitrary pulse data using a display. If this method is successful, it will be possible to input pulse data measured at the junction of the live body and the prosthetic hand to the display, and have the smartwatch attached to the prosthetic hand read the same pulse data. In this paper, we focus on the heart rate and report the results of an experiment in which a target heart rate was input and the display was controlled to determine whether the target heart rate could be obtained by a smartwatch. We implemented a display drawing program and conducted the evaluation using five kinds of smartwatches and four kinds of displays. Results showed that the error between the target heart rate and the heart rate acquired by the smartwatch was within ± 3 beats per minute in many cases.
KW - PPG sensor
KW - display
KW - heart rate
KW - pulse wave
KW - smartwatch
UR - http://www.scopus.com/inward/record.url?scp=85115951394&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85115951394&partnerID=8YFLogxK
U2 - 10.1145/3460421.3478823
DO - 10.1145/3460421.3478823
M3 - Conference contribution
AN - SCOPUS:85115951394
T3 - Proceedings - International Symposium on Wearable Computers, ISWC
SP - 119
EP - 123
BT - ISWC 2021 - Proceedings of the 2021 ACM International Symposium on Wearable Computers
PB - Association for Computing Machinery
Y2 - 21 September 2021 through 26 September 2021
ER -