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

Journal: Nature communications
Published Date: May 25, 2024

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.

Authors

  • Yiming Liu
  • Shengxin Jia
    Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Chun Ki Yiu
    Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Wooyoung Park
    Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Zhenlin Chen
    Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Jin Nan
    Institute of Solid Mechanics, Beihang University, 100191, Beijing, China.
  • Xingcan Huang
    Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Hongting Chen
    Department of Electrical Engineering and Information systems, The University of Tokyo, Tokyo, 113-8656, Japan.
  • Wenyang Li
  • Yuyu Gao
    Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Weike Song
    China Special Equipment Inspection and Research Institute, 100029, Beijing, China.
  • Tomoyuki Yokota
    Department of Electrical Engineering and Information systems, The University of Tokyo, Tokyo, 113-8656, Japan.
  • Takao Someya
  • Zhao Zhao
    School of Fine Arts, Hunan Normal University, Changsha 410006, China.
  • Yuhang Li
    Zhejiang Key Laboratory of Excited-State Energy Conversion and Energy Storage, Department of Chemistry, Zhejiang University, Hangzhou 310058, China.
  • Xinge Yu
    Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China. xingeyu@cityu.edu.hk.

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