Multi-Sensors for Human Activity Recognition

Athina Tsanousa; Georgios Meditskos; Stefanos Vrochidis; Ioannis Kompatsiaris

doi:10.3390/s23104617

Multi-Sensors for Human Activity Recognition

Sensors (Basel). 2023 May 10;23(10):4617. doi: 10.3390/s23104617.

Authors

Athina Tsanousa¹, Georgios Meditskos², Stefanos Vrochidis¹, Ioannis Kompatsiaris¹

Affiliations

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 [...].

Publication types

Editorial

MeSH terms

Human Activities*
Humans
Recognition, Psychology*

Grants and funding

This research received funding from the European Union’s Horizon 2020 research and innovation programme ALAMEDA, under grant agreement No. GA101017558, and from the REA project (T1EDK-00686), co-financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship, and Innovation, under the call RESEARCH–CREATE–INNOVATE.