Work

Systematic Comparison of Machine Learning for Activity Recognition in Cross-Subject vs. NonCross-Subject Scenarios: A Preliminary Analysis

Year: 2024

Type: conference-paper

Source: IEEE Forum on Research and Technologies for Society and Industry Innovation (RTSI)

DOI: 10.1109/rtsi61910.2024.10761630

Authors: Samuele Pe, Giovanna Nicora, Bruna Maria Vittoria Guerra, Stefania Sozzi, Enea Parimbelli

Institution: University of Pavia

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: W4404741787

FWCI: 0.632

Cites: 17

Cited by: 3

Related to: 10