Multi-Sensors for Human Activity Recognition-Reference-Cited by-同舟云学术

Multi-Sensors for Human Activity Recognition

Published:2023-05-10 Issue:10 Volume:23 Page:4617
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Tsanousa Athina¹^ORCID,Meditskos Georgios²^ORCID,Vrochidis Stefanos¹^ORCID,Kompatsiaris Ioannis¹^ORCID

Affiliation:

1. Centre for Research and Technology Hellas, Information Technologies Institute, 6th Km Charilaou-Thermi, 57001 Thessaloniki, Greece

2. School of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece

Abstract

Human activity recognition (HAR) has made significant progress in recent years, with growing applications in various domains, and the emergence of wearable and ambient sensors has provided new opportunities in the field [...]

Funder

European Union’s Horizon 2020 research and innovation programme ALAMEDA

REA project

European Regional Development Fund of the European Union

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

https://www.mdpi.com/1424-8220/23/10/4617/pdf

Reference9 articles.

1. Ciampi, L., Foszner, P., Messina, N., Staniszewski, M., Gennaro, C., Falchi, F., Serao, G., Cogiel, M., Golba, D., and Szczęsna, A. (2022). Bus Violence: An Open Benchmark for Video Violence Detection on Public Transport. Sensors, 22.

2. Bouchabou, D., Nguyen, S.M., Lohr, C., LeDuc, B., and Kanellos, I. (2021). A Survey of Human Activity Recognition in Smart Homes Based on IoT Sensors Algorithms: Taxonomies, Challenges, and Opportunities with Deep Learning. Sensors, 21.

3. Lentzas, A., Dalagdi, E., and Vrakas, D. (2022). Multilabel Classification Methods for Human Activity Recognition: A Comparison of Algorithms. Sensors, 22.

4. Echeverria, J., and Santos, O.C. (2021). Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation. Sensors, 21.

5. Saia, R., Podda, A.S., Pompianu, L., Reforgiato Recupero, D., and Fenu, G. (2021). A Blockchain-Based Distributed Paradigm to Secure Localization Services. Sensors, 21.