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Classifying the Main Technology Clusters and Assignees of Home Automation Networks Using Patent Classifications

Authors :
Konstantinos Charmanas
Konstantinos Georgiou
Nikolaos Mittas
Lefteris Angelis
Source :
Computers, Vol 12, Iss 10, p 211 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

Home automation technologies are a vital part of humanity, as they provide convenience in otherwise mundane and repetitive tasks. In recent years, given the development of the Internet of Things (IoT) and artificial intelligence (AI) sectors, these technologies have seen a tremendous rise, both in the methodologies utilized and in their industrial impact. Hence, many organizations and companies are securing commercial rights by patenting such technologies. In this study, we employ an analysis of 8482 home automation patents from the United States Patent and Trademark Office (USPTO) to extract thematic clusters and distinguish those that drive the market and those that have declined over the course of time. Moreover, we identify prevalent competitors per cluster and analyze the results under the spectrum of their market impact and objectives. The key findings indicate that home automation networks encompass a variety of technological areas and organizations with diverse interests.

Details

Language :
English
ISSN :
2073431X
Volume :
12
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Computers
Publication Type :
Academic Journal
Accession number :
edsdoj.55f3f864de594a5b82cf73e79991528b
Document Type :
article
Full Text :
https://doi.org/10.3390/computers12100211