Multi-sensor based IoT-driven community forest: a case study of E-health monitoring for environmental literacy in adolescents

Abstract

Abstract—In this paper, a community forest project was designed to integrate IoT and E-health acquisition device into digital art generation through a data visualization process and to intervene in adolescents' environmental literacy assessment, which was used to help them understand the state of themselves and the environment currently, and to stimulate reflection on their health and the health of the environment. Forty community-dwelling adolescents were recruited for the study and grouped into intervention-controlled experiments, which ended with questionnaire interviews. The outcome of experiments has shown that the experimental group, when combined with the advent of digital art, has significantly demonstrated an improvement in the assessment of environmental letters.The interview results showed that the participants were encouraged to exchange ideas and inspired to protect the environment through the digital art intervention. Our study focuses on the three axes of human health, environmental health, and environmental literacy, exploring the harmonious coexistence of the human-machine-environment trinity, and attempting to use digital art integrating health data as a link between the trinity, to develop a new approach to environmental education for improving environmental literacy of adolescents and promote sus-tainable development.