Work

An Embedded Sensing Methodology for the Classification of Activity Rate

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)

DOI: 10.1109/metroxraine62247.2024.10796795

Authors: Bruno Andò, Mattia Manenti, Danilo Greco, Antonio Pistorio

Institutions: University of Catania, STMicroelectronics (Italy)

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4405755765

FWCI: 0.211

Cites: 13

Cited by: 1

Related to: 10