Heartbeat Detection Based on Pulse Neuron Model for Heart Rate Variability Analysis

In this study, we aim to develop an educational environment and platform based on color science, merging information technology, robotics and artificial intelligence. In the educational environment, the robot requires functional capability for human-like communication. However, the robot may have di...

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Bibliographic Details
Main Authors: Obo, Takenori, Takaguchi, Daiki, Katagami, Daisuke, Sone, Junji, Tomoto, Takahito, Ogai, Yuta, Udagawa, Yoshihisa
Format: Conference Proceeding
Language:English
Subjects:
Biological neural networks
Heart rate variability
heart rate variability analysis
heartbeat detection
Image color analysis
Neurons
Pressure measurement
Pressure sensors
pulse neuron model
Robots
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Summary:In this study, we aim to develop an educational environment and platform based on color science, merging information technology, robotics and artificial intelligence. In the educational environment, the robot requires functional capability for human-like communication. However, the robot may have difficulty in grasping the small cues to represent feelings and emotional changes of human by itself. This paper presents a measurement system with pneumatic pressure sensor for heart rate variability analysis. We proposed a fuzzy spiking neural network to extract heartbeat signal from the measured data. We furthermore conducted experiments to investigate the effects on student's psychological states while solving some conundrums by using the measurement system.
ISSN:2161-4407
DOI:10.1109/IJCNN.2019.8851915