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

Author

Listed:
  • Yiming Liu

    (Kowloong Tong
    The University of Tokyo)

  • Shengxin Jia

    (Kowloong Tong
    New Territories)

  • Chun Ki Yiu

    (Kowloong Tong
    New Territories)

  • Wooyoung Park

    (Kowloong Tong)

  • Zhenlin Chen

    (Kowloong Tong
    New Territories)

  • 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
    The University of Tokyo)

  • Takao Someya

    (The University of Tokyo
    RIKEN Center for Emergent Matter Science (CEMS)
    RIKEN)

  • Zhao Zhao

    (China Special Equipment Inspection and Research Institute)

  • Yuhang Li

    (Beihang University
    Ningbo Institute of Technology Beihang University (BUAA))

  • Xinge Yu

    (Kowloong Tong
    New Territories
    City University of Hong Kong)

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.

Suggested Citation

  • 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 & Yuh, 2024. "Intelligent wearable olfactory interface for latency-free mixed reality and fast olfactory enhancement," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48884-z
    DOI: 10.1038/s41467-024-48884-z
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    References listed on IDEAS

    as
    1. Xinge Yu & Zhaoqian Xie & Yang Yu & Jungyup Lee & Abraham Vazquez-Guardado & Haiwen Luan & Jasper Ruban & Xin Ning & Aadeel Akhtar & Dengfeng Li & Bowen Ji & Yiming Liu & Rujie Sun & Jingyue Cao & Qin, 2019. "Skin-integrated wireless haptic interfaces for virtual and augmented reality," Nature, Nature, vol. 575(7783), pages 473-479, November.
    2. Shuai Xu & Arun Jayaraman & John A. Rogers, 2019. "Skin sensors are the future of health care," Nature, Nature, vol. 571(7765), pages 319-321, July.
    3. Zhongda Sun & Minglu Zhu & Xuechuan Shan & Chengkuo Lee, 2022. "Augmented tactile-perception and haptic-feedback rings as human-machine interfaces aiming for immersive interactions," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    4. 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 &, 2023. "Soft, miniaturized, wireless olfactory interface for virtual reality," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
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