Dog Heart Rate and Blood Oxygen Metaverse Interaction System
Yanhui Jiang, Jin Cao, Chang Yu

TL;DR
This paper presents an Arduino-based system for accurately monitoring dog heart rate and blood oxygen levels, integrating hardware and computational techniques to improve health assessment and enable virtual interactions in the metaverse.
Contribution
It introduces a novel integrated sensing and computational system for dog health monitoring that supports virtual metaverse interactions, addressing accuracy issues of traditional methods.
Findings
Enhanced measurement accuracy and reliability.
Feasibility of long-term monitoring in real-world settings.
Potential for virtual dog health interaction in AR/VR environments.
Abstract
This study developed an improved dog heart rate and blood oxygen sensor system using Arduino. Traditional methods face accuracy and reliability issues. Our system integrates advanced computational techniques with hardware-based sensing to enhance measurement precision. An Arduino microcontroller connected to a heart rate and blood oxygen sensor collects raw data, which is preprocessed and filtered to remove noise. Experimental plans include long-term monitoring of multiple dogs and comparative analysis with traditional methods to validate the system's effectiveness, aiming for widespread use in the home or veterinary clinics. Additionally, the system offers dog owners the possibility to interact with their virtual dogs in the metaverse using AR/VR, allowing them to better understand their real dogs' health conditions by observing their virtual health status.
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Taxonomy
TopicsVirtual Reality Applications and Impacts · Education and Learning Interventions
