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A Massage Area Positioning Algorithm for Intelligent Massage System.

Authors :: Zhou L
Feng Z
Cai Z
Yang X
Ai C
Shao H
Source :: Computational intelligence and neuroscience [Comput Intell Neurosci] 2022 Aug 04; Vol. 2022, pp. 7678516. Date of Electronic Publication: 2022 Aug 04 (Print Publication: 2022).
Publication Year :: 2022
Abstract: 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.<br />Competing Interests: The authors declared that there are no conflicts of interest regarding the publication of this paper.<br /> (Copyright © 2022 Liran Zhou et al.)