TY - GEN
T1 - Methodology for Monitoring Vital Signs in Virtual Classes Using Low-cost Sensors in Online Classes
AU - Auccahuasi, Wilver
AU - Meza, Sandra
AU - Rojas, Karin
AU - Linares, Oscar
AU - Inciso-Rojas, Miryam
AU - Auccahuasi, Aly
AU - Flores, Edward
AU - Felix, Edwin
AU - Aybar, Justiniano
AU - Pando-Ezcurra, Tamara
N1 - Publisher Copyright:
© 2022 ACM.
PY - 2022/10/28
Y1 - 2022/10/28
N2 - The effects of the COVID-19 pandemic have led to certain patterns in the different actions people take. One of the areas in which this pandemic has impacted most strongly is related to educational activities and children were the most affected. They went from studying in their schools where they have all the conditions, to a physical space at home. This strong change in the environment added to the high levels of contagion, have caused students to present certain manifestations such as the level of stress which can be manifested by many factors such as the main vital signs such as oxygen saturation and heart rate. In this paper we present a methodology to perform these measurements in order to evaluate these measurements when students are attending classes from home.
AB - The effects of the COVID-19 pandemic have led to certain patterns in the different actions people take. One of the areas in which this pandemic has impacted most strongly is related to educational activities and children were the most affected. They went from studying in their schools where they have all the conditions, to a physical space at home. This strong change in the environment added to the high levels of contagion, have caused students to present certain manifestations such as the level of stress which can be manifested by many factors such as the main vital signs such as oxygen saturation and heart rate. In this paper we present a methodology to perform these measurements in order to evaluate these measurements when students are attending classes from home.
KW - Measurement
KW - classes
KW - clock
KW - environment
KW - sensors
UR - http://www.scopus.com/inward/record.url?scp=85159668703&partnerID=8YFLogxK
U2 - 10.1145/3577148.3577159
DO - 10.1145/3577148.3577159
M3 - Conference contribution
AN - SCOPUS:85159668703
T3 - ACM International Conference Proceeding Series
SP - 59
EP - 63
BT - SSIP 2022 - 2022 5th International Conference on Sensors, Signal and Image Processing
PB - Association for Computing Machinery
T2 - 5th International Conference on Sensors, Signal and Image Processing, SSIP 2022
Y2 - 28 October 2022 through 30 October 2022
ER -