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Fuzzy theory analysis on imagery modeling of wearable bracelet in the urbanian health management
Author(s) -
Ruoyi Zhao,
Ying Gao,
Xingmin Lin,
Ye Tian,
Chen Xiu,
Luting Xia,
Yuqiong Jie
Publication year - 2021
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2021033
Subject(s) - wearable computer , population , computer science , wearable technology , multimedia , human–computer interaction , applied psychology , artificial intelligence , psychology , medicine , environmental health , embedded system
The purpose of this research is to evaluate the imagery modeling of wearable bracelets. Twelve kinds of smart wearable bracelets with the biggest market share were taken as the research samples. Firstly, by means of questionnaire survey, the factor analysis was utilized to assess the survey results. And 6 groups of adjective vocabularies were selected to describe the imagery modeling of smart wearable bracelets, as neat and good-looking, individuality and interesting, elegance and tasteful, gorgeous and diversiform, technology and quality, popular and economical. At the second step, the evaluation of 12 smart wearable bracelets in 6 groups of adjective vocabularies was calculated with triangle fuzzy theory. The costumers in Hangzhou City were taken as the research target and divided into three categories as elderly silver population, white-collar workers and physical fitness youth. Based on the user matching hypothesis, a questionnaire survey was conducted again. Smart bracelets with concise, popular, economical, technological, recognizable imagery were applied in elderly silver population group. Smart bracelets with good-quality, gorgeousness, elegance and taste were more suitable for the group of urban white-collar worker. The smart bracelets with neat, good-looking, personalized, interesting characteristics showed great physical fitness to youth group. The analysis on the survey results show that assessment on the imagery modeling of smart wearable bracelets for three costumer groups is consistent with the user matching hypothesis. The investigation will offer reference for the designers and manufacturers to develop products purposely. The research results of this study can help the consumers to rationally use the smart bracelet and form a personal health database, so that the government can optimize the allocation of medical resources and build a better medical service system.

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