A Massage Area Positioning Algorithm for Intelligent Massage System.
Journal
Computational intelligence and neuroscience
ISSN: 1687-5273
Titre abrégé: Comput Intell Neurosci
Pays: United States
ID NLM: 101279357
Informations de publication
Date de publication:
2022
2022
Historique:
received:
11
05
2022
accepted:
13
07
2022
entrez:
15
8
2022
pubmed:
16
8
2022
medline:
17
8
2022
Statut:
epublish
Résumé
A growing number of studies have been conducted over the past few years on the positioning of daily massage robots. However, most methods used for research have low interactivity, and a systematic method should be designed for accurate and intelligent positioning, thus compromising usability and user experience. In this study, a massage positioning algorithm with online learning capabilities is presented. The algorithm has the following main innovations: (1) autonomous massage localization can be achieved by gaining insights into natural human-machine interaction behavior and (2) online learning of user massage habits can be achieved by integrating recursive Bayesian ideas. As revealed by the experimental results, combining natural human-computer interaction and online learning with massage positioning is capable of helping people get rid of positioning aids, reducing their psychological and cognitive load, and achieving a more desirable positioning effect. Furthermore, the results of the analysis of user evaluations further verify the effectiveness of the algorithm.
Identifiants
pubmed: 35965757
doi: 10.1155/2022/7678516
pmc: PMC9371831
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
7678516Informations de copyright
Copyright © 2022 Liran Zhou et al.
Déclaration de conflit d'intérêts
The authors declared that there are no conflicts of interest regarding the publication of this paper.
Références
Front Hum Neurosci. 2012 May 08;6:103
pubmed: 22586381
Health Informatics J. 2019 Sep;25(3):892-918
pubmed: 28927331
Sci Robot. 2021 Sep 08;6(58):eabc5044
pubmed: 34516747
Commun Biol. 2021 Dec 16;4(1):1406
pubmed: 34916587