Networked Sensing Systems

4Advanced Techniques for Human-Centric Sensing in Environmental Monitoring

S. Aathilakshmi¹*, Visali C.², T. Manikandan² and Seifedine Kadry³

¹Department of Electronics and Communication Engineering, Chennai Institute of Technology, Chennai, India

²Department of ECE, Vivekanandha College of Engineering for Women (Autonomous), Thiruchengode, Tamil Nadu, India

³Department of Applied Data Science, Noroff University College, Kristiansand, Norway

Abstract

This paper discovers progressive methods for human-centric sensing in environmental monitoring. It begins by debating the principles of human-centric sensing and its returns over outdated methods. It investigates into the technical features of realizing human-centric sensing systems, with data group, processing, and analysis. Numerous sensing sense modalities, such as GPS, accelerometer, camera, microphone, and environmental sensors, are examined for their potential in capturing relevant environmental data. Besides, it explores the tests and chances associated with human-centric sensing, including privacy concerns, data quality issues, and scalability. This paper discusses novel methods for lecturing these tests, such as privacy-preserving data combination methods and machine learning algorithms, for data validation and fusion. Moreover, this research highlights the submissions of human-centric sensing in varied environmental monitoring scenarios, with air quality assessment, noise pollution mapping, urban heat island detection, ...