Year: 2025
Type: conference-paper
Abstract: In order to better combine artificial intelligence technology with the functions of home fitness equipment and overcome the limitations of traditional fitness equipment, the KJ-AHP integration method is used to achieve the optimisation design research of intelligent home fitness equipment. Through the questionnaire survey, user interviews on fitness equipment related information research, with the help of KJ affinity diagram method to count the user's demand indicators for intelligent fitness equipment functions. Using the AHP hierarchical analysis method, the demand indicators are transformed into design elements, the design scheme is quantitatively evaluated, and the weight value of each functional indicator is calculated. The design element priority of intelligent home fitness equipment is derived to guide the design practice, so as to design a home fitness equipment with strong functionality, intelligence, convenient operation and high safety, and at the same time provide research ideas for the design of related products.
Authors: Ming Lv, Yabin Li
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4413008129