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Application Design And Development Of Indoor Formaldehyde Reducing Plants Based On Augmented Reality

Posted on:2021-04-28Degree:MasterType:Thesis
Country:ChinaCandidate:Z LiFull Text:PDF
GTID:2393330611469583Subject:Arts
Abstract/Summary:PDF Full Text Request
With the rapid development and progress of digital technology,people's cognition and contact methods of the world gradually grow into digital methods,the importance of production and research of digital content is gradually reflected.Digital plant is the new research direction of agriculture and forestry subject in the digital trend.With strong multidimensional,visibility,interactivity,it has great research value.Augmented reality(AR)technology is able to merge digital content into the real environment,which means the combination of virtual and reality.At present,AR technology is rarely used with digital plants,however the digital plants are likely to combine with AR technology.Based on the theory of digital plants,combined with the adaptability of AR technology and digital plants,this paper puts forward a compromise solution for the current situation of increasingly alienated human and nature.Lit Green,a home formaldehyde reducing plant application based on AR,introduces digital plants into the user's life through the user's actual aldehyde removal requirements.The development of the application involves four parts: user research,interactive design,database establishment,and AR realization.It has completed the user's functional requirements for aldehyde removing plants,and is a powerful attempt for the construction of digital plant ecology.This paper discusses the digital plant ecology presented by the design,and analyzes and discusses the secondary ecology presented from the three dimensions of plants,digital technology and users,hoping to provide new ideas and possibilities for the development prospect and direction of digital plants.
Keywords/Search Tags:Augment Reality, Indoor formaldehyde reducing plant, Digital plant, Interaction Design
PDF Full Text Request
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