Dog Heart Rate and Blood Oxygen Metaverse Interaction System
Yanhui Jiang, Jin Cao, Chang Yu
TL;DR
The paper addresses the challenge of reliable real-time health monitoring for dogs, focusing on heart rate and blood oxygen measurements. It proposes an Arduino-based sensor system with MAX30102, along with preprocessing and simple processing steps to improve accuracy and robustness, and contemplates rough-set analysis for future data refinement. A metaverse AR/VR interface is planned for owners to interact with virtual representations of their dogs and view health dashboards that reflect real dog health. The work outlines a prototype design, an evaluation plan, and future directions toward additional sensors and broader platform support for home and clinical use.
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.
