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 () and Xinge Yu ()
Additional contact information
Yiming Liu: Kowloong Tong
Shengxin Jia: Kowloong Tong
Chun Ki Yiu: Kowloong Tong
Wooyoung Park: Kowloong Tong
Zhenlin Chen: Kowloong Tong
Jin Nan: Beihang University
Xingcan Huang: Kowloong Tong
Hongting Chen: The University of Tokyo
Wenyang Li: Kowloong Tong
Yuyu Gao: Kowloong Tong
Weike Song: China Special Equipment Inspection and Research Institute
Tomoyuki Yokota: The University of Tokyo
Takao Someya: The University of Tokyo
Zhao Zhao: China Special Equipment Inspection and Research Institute
Yuhang Li: Beihang University
Xinge Yu: Kowloong Tong

Nature Communications, 2024, vol. 15, issue 1, 1-15

Abstract: 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.

Date: 2024
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DOI: 10.1038/s41467-024-48884-z

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