Work

Gauging Ambient Environmental Carbon Dioxide Concentration Solely Using Biometric Observations: A Machine Learning Approach

Year: 2023

Type: dataset

Abstract: Data and code in form of Jupyter Notebook to accompany an unpublished paper with the title " Gauging Ambient Environmental Carbon Dioxide Concentration Solely Using Biometric Observations: A Machine Learning Approach". This work makes use of biometric variables of a participant to estimate the inhaled carbon dioxide in microenvironments and understand various physiological and cognitive responses. Github link: mi3nts/Estimate-CO2: Data and code to estimate inhaled CO2 (github.com)

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.10184800

Authors: Ruwali, Shisir, Fernando, Bharana Ashen, Talebi, Shawhin, Wijeratne, Lakitha Omal Harindha, Waczak, John, Lary, David, Sadler, John, Lary, Tatiana, Lary, Matthew, Aker, Adam

Language: English

Topic: Non-Invasive Vital Sign Monitoring

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Climate action

Open Access status: green

OpenAlex ID: W4393602272

Cites:

Cited by: 1

Related to: 10