Intelligent wearable olfactory interface for latency-free mixed reality and fast olfactory enhancement

Yiming Liu; Shengxin Jia; Chun Ki Yiu; Wooyoung Park; Zhenlin Chen; Jin Nan; Xingcan Huang; Hongting Chen; Wenyang Li; Yuyu Gao; Weike Song; Tomoyuki Yokota; Takao Someya; Zhao Zhao; Yuhang Li; Xinge Yu

doi:10.1038/s41467-024-48884-z

Intelligent wearable olfactory interface for latency-free mixed reality and fast olfactory enhancement

Yiming Liu, Shengxin Jia, Chun Ki Yiu, Wooyoung Park, Zhenlin Chen, Jin Nan, Xingcan Huang, Hongting Chen, Wenyang Li, Yuyu Gao, Weike Song, Tomoyuki Yokota, Takao Someya^*, Zhao Zhao^*, Yuhang Li^*, Xinge Yu^*

^*Corresponding author for this work

Department of Biomedical Engineering

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

12 Citations (Scopus)

24 Downloads (CityUHK Scholars)

Abstract

Olfaction feedback systems could be utilized to stimulate human emotion, increase alertness, provide clinical therapy, and establish immersive virtual environments. Currently, the reported olfaction feedback technologies still face a host of formidable challenges, including human perceivable delay in odor manipulation, unwieldy dimensions, and limited number of odor supplies. Herein, we report a general strategy to solve these problems, which associates with a wearable, high-performance olfactory interface based on miniaturized odor generators (OGs) with advanced artificial intelligence (AI) algorithms. The OGs serve as the core technology of the intelligent olfactory interface, which exhibit milestone advances in millisecond-level response time, milliwatt-scale power consumption, and the miniaturized size. Empowered by robust AI algorithms, the olfactory interface shows its great potentials in latency-free mixed reality (MR) and fast olfaction enhancement, thereby establishing a bridge between electronics and users for broad applications ranging from entertainment, to education, to medical treatment, and to human machine interfaces. © The Author(s) 2024.

Original language	English
Article number	4474
Journal	Nature Communications
Volume	15
Online published	25 May 2024
DOIs	https://doi.org/10.1038/s41467-024-48884-z
Publication status	Published - 2024

Funding

This work was supported by the Research Grants Council of the Hong Kong Special Administrative Region (Grant Nos. 11211523, RFS2324- 1S03), National Natural Science Foundation of China (Grant No. 62122002), City University of Hong Kong (Grant Nos. 9667221, 9680322, 9678274), in part by InnoHK Project on Project 2.2—AIbased 3D ultrasound imaging algorithm at Hong Kong Centre for Cerebro-Cardiovascular Health Engineering (COCHE), the National Natural Science Foundation of China (Grant Nos. U23A20111 and 12372160), 111 Center (Grant No. B18002), Japan Society for the Promotion of Science (Grant No. 22K21343), and State Administration for Market Regulation Science and Technology Plan Project (Grant No. 2023MK201).

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

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title = "Intelligent wearable olfactory interface for latency-free mixed reality and fast olfactory enhancement",

abstract = "Olfaction feedback systems could be utilized to stimulate human emotion, increase alertness, provide clinical therapy, and establish immersive virtual environments. Currently, the reported olfaction feedback technologies still face a host of formidable challenges, including human perceivable delay in odor manipulation, unwieldy dimensions, and limited number of odor supplies. Herein, we report a general strategy to solve these problems, which associates with a wearable, high-performance olfactory interface based on miniaturized odor generators (OGs) with advanced artificial intelligence (AI) algorithms. The OGs serve as the core technology of the intelligent olfactory interface, which exhibit milestone advances in millisecond-level response time, milliwatt-scale power consumption, and the miniaturized size. Empowered by robust AI algorithms, the olfactory interface shows its great potentials in latency-free mixed reality (MR) and fast olfaction enhancement, thereby establishing a bridge between electronics and users for broad applications ranging from entertainment, to education, to medical treatment, and to human machine interfaces. {\textcopyright} The Author(s) 2024.",

author = "Yiming Liu and Shengxin Jia and Yiu, {Chun Ki} and Wooyoung Park and Zhenlin Chen and Jin Nan and Xingcan Huang and Hongting Chen and Wenyang Li and Yuyu Gao and Weike Song and Tomoyuki Yokota and Takao Someya and Zhao Zhao and Yuhang Li and Xinge Yu",

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doi = "10.1038/s41467-024-48884-z",

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AU - Liu, Yiming

AU - Jia, Shengxin

AU - Yiu, Chun Ki

AU - Park, Wooyoung

AU - Chen, Zhenlin

AU - Nan, Jin

AU - Huang, Xingcan

AU - Chen, Hongting

AU - Li, Wenyang

AU - Gao, Yuyu

AU - Song, Weike

AU - Yokota, Tomoyuki

AU - Someya, Takao

AU - Zhao, Zhao

AU - Li, Yuhang

AU - Yu, Xinge

PY - 2024

Y1 - 2024

N2 - Olfaction feedback systems could be utilized to stimulate human emotion, increase alertness, provide clinical therapy, and establish immersive virtual environments. Currently, the reported olfaction feedback technologies still face a host of formidable challenges, including human perceivable delay in odor manipulation, unwieldy dimensions, and limited number of odor supplies. Herein, we report a general strategy to solve these problems, which associates with a wearable, high-performance olfactory interface based on miniaturized odor generators (OGs) with advanced artificial intelligence (AI) algorithms. The OGs serve as the core technology of the intelligent olfactory interface, which exhibit milestone advances in millisecond-level response time, milliwatt-scale power consumption, and the miniaturized size. Empowered by robust AI algorithms, the olfactory interface shows its great potentials in latency-free mixed reality (MR) and fast olfaction enhancement, thereby establishing a bridge between electronics and users for broad applications ranging from entertainment, to education, to medical treatment, and to human machine interfaces. © The Author(s) 2024.

AB - Olfaction feedback systems could be utilized to stimulate human emotion, increase alertness, provide clinical therapy, and establish immersive virtual environments. Currently, the reported olfaction feedback technologies still face a host of formidable challenges, including human perceivable delay in odor manipulation, unwieldy dimensions, and limited number of odor supplies. Herein, we report a general strategy to solve these problems, which associates with a wearable, high-performance olfactory interface based on miniaturized odor generators (OGs) with advanced artificial intelligence (AI) algorithms. The OGs serve as the core technology of the intelligent olfactory interface, which exhibit milestone advances in millisecond-level response time, milliwatt-scale power consumption, and the miniaturized size. Empowered by robust AI algorithms, the olfactory interface shows its great potentials in latency-free mixed reality (MR) and fast olfaction enhancement, thereby establishing a bridge between electronics and users for broad applications ranging from entertainment, to education, to medical treatment, and to human machine interfaces. © The Author(s) 2024.

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Intelligent wearable olfactory interface for latency-free mixed reality and fast olfactory enhancement

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RFS: Skin-Integrated and Multi-functional Closed Loop Human Machine Interface: Sensing, Actuation, and System Integration

GRF: Thin, Soft, Skin-integrated Olfactory Interface

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Intelligent wearable olfactory interface for latency-free mixed reality and fast olfactory enhancement

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RFS: Skin-Integrated and Multi-functional Closed Loop Human Machine Interface: Sensing, Actuation, and System Integration

GRF: Thin, Soft, Skin-integrated Olfactory Interface

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