Details

Autor(en) / Beteiligte

• Tanizaki, Amon
• Sun, Guanghao
• Kitano, Keisuke
• Hashimoto, Takuya

Titel

Study on the Autonomous Non-contact Measurement of Biometric Signals

Ist Teil von

• 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2023, Vol.2023, p.1-4

Ort / Verlag

United States: IEEE

Erscheinungsjahr

2023

Quelle

MEDLINE

Beschreibungen/Notizen

• In this study, we developed a robot that can recognize and track a person, and autonomously measure two biological signals, respiration rate and heart rate, in a non-contact manner. Through experiments, we confirmed that both signals can be measured with high accuracy and that the robot can perform the measurement under conditions similar to those in actual workplaces. We also investigated factors that can affect the accuracy of the non-contact measurement and studied a method to evaluate the reliability of the measured signals.