Soft, miniaturized, wireless olfactory interface for virtual reality

Yiming Liu, Chun Ki Yiu, Zhao Zhao, Wooyoung Park, Rui Shi, Xingcan Huang, Yuyang Zeng, Kuan Wang, Tsz Hung Wong, Shengxin Jia, Jingkun Zhou, Zhan Gao, Ling Zhao, Kuanming Yao, Jian Li, Chuanlu Sha, Yuyu Gao, Guangyao Zhao, Ya Huang, Dengfeng LiQinglei Guo, Yuhang Li*, Xinge Yu*

*Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

75 Citations (Scopus)
56 Downloads (CityUHK Scholars)

Abstract

Recent advances in virtual reality (VR) technologies accelerate the creation of a flawless 3D virtual world to provide frontier social platform for human. Equally important to traditional visual, auditory and tactile sensations, olfaction exerts both physiological and psychological influences on humans. Here, we report a concept of skin-interfaced olfactory feedback systems with wirelessly, programmable capabilities based on arrays of flexible and miniaturized odor generators (OGs) for olfactory VR applications. By optimizing the materials selection, design layout, and power management, the OGs exhibit outstanding device performance in various aspects, from response rate, to odor concentration control, to long-term continuous operation, to high mechanical/electrical stability and to low power consumption. Representative demonstrations in 4D movie watching, smell message delivery, medical treatment, human emotion control and VR/AR based online teaching prove the great potential of the soft olfaction interface in various practical applications, including entertainment, education, human machine interfaces and so on. © 2023, The Author(s).
Original languageEnglish
Article number2297
JournalNature Communications
Volume14
Issue number1
Online published9 May 2023
DOIs
Publication statusPublished - 2023

Funding

This work was supported by the National Natural Science Foundation of China (Grants No. 62122002), City University of Hong Kong (Grants No. 9667221, 9678274, and 9680322), and the Research Grants Council of the Hong Kong Special Administrative Region (Grants No. 21210820, 11213721 and 11215722), in part by InnoHK Project on Project 2.2—AIbased 3D ultrasound imaging algorithm at Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE). YH.L. acknowledges the funding from The Natural Science Foundation of Zhejiang Province of China (No. LY21A020001), and Ningbo Scientific and Technological Innovation 2025 Major Project (No. 2021Z108). Q.G. acknowledges the funding from the Natural Science Foundation of Shandong Province in China (Grant No. ZR2021MF008), the State Key Laboratory of Functional Materials for Informatics (Grant No. SKL202101

Publisher's Copyright Statement

  • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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