Young Researcher Paper Award 2023
🥇Winners

Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 35, Number 4(1) (2023)
Copyright(C) MYU K.K.
pp. 1171-1188
S&M3238 Research Paper of Special Issue
https://doi.org/10.18494/SAM4017
Published: April 5, 2023

Design and Research of Campus Culture Application Based on Sensor Data and Metaverse Technology [PDF]

Xu Han, Yang Hu, Baohua Tan, Yuxuan Li, Qi Zhang, and Yiyao Jiang

(Received July 4, 2022; Accepted March 14, 2023)

Keywords: campus culture, fuzzy Kano model, TOPSIS, virtual campus, user interface design

With the development of science and technology, virtual reality (VR) and interactive technology are playing an increasingly important role in the promotion of campus culture. In this study, we created an app to introduce campus culture using VR and metaverse technology by 3D modeling based on the data obtained by an unattended aerial vehicle and various sensors loaded on it. The contents of the app were selected through user demand analysis using the fuzzy Kano model, the entropy weighting method, and the technique for ordered preference by similarity to ideal solution method (TOPSIS). According to the indicators defined in the analysis, necessary data and information, including geospatial data, tilt photography, real scene data, point cloud data, and 3D virtual scenes, were collected with various sensor technologies such as Da Jiang innovations (DJI) first person view (FPV) sensors, DJI X5S single lens, and global navigation satellite system real-time kinematic (GNSS-RTK) on the DJI Inspire 2 model unmanned aerial vehicle (UAV). The data and information were used to create a 3D point cloud model for a VR environment and develop the campus culture app based on the model. The app has interactive functions that provide information on campus culture in the metaverse. The app can be used to publicize campus culture and provide appropriate information, and also allows interaction with and between users and with various social media platforms. A relevant user interface and metaverse were created to enable users to browse, communicate, and exchange information interactively. In the future, more innovative features such as game scenarios and auxiliary psychological elements can be added through 5G and the Internet of Things technologies.

Corresponding author: Baohua Tan


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Xu Han, Yang Hu, Baohua Tan, Yuxuan Li, Qi Zhang, and Yiyao Jiang, Design and Research of Campus Culture Application Based on Sensor Data and Metaverse Technology, Sens. Mater., Vol. 35, No. 4, 2023, p. 1171-1188.



Forthcoming Regular Issues


Forthcoming Special Issues

Applications of Novel Sensors and Related Technologies for Internet of Things
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on Advanced Data Sensing and Processing Technologies for Smart Community and Smart Life
Guest editor, Tatsuya Yamazaki (Niigata University)
Call for paper


Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest editor, Kaori Fujinami (Tokyo University of Agriculture and Technology)
Call for paper


Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
Conference website
Call for paper


Special Issue on Piezoelectric Thin Films and Piezoelectric MEMS
Guest editor, Isaku Kanno (Kobe University)
Call for paper


Special Issue on Advanced Micro/Nanomaterials for Various Sensor Applications (Selected Papers from ICASI 2023)
Guest editor, Sheng-Joue Young (National United University)
Conference website
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.