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Intelligent wearable olfactory interface for latency-free mixed reality and fast olfactory enhancement.
Liu, Yiming; Jia, Shengxin; Yiu, Chun Ki; Park, Wooyoung; Chen, Zhenlin; Nan, Jin; Huang, Xingcan; Chen, Hongting; Li, Wenyang; Gao, Yuyu; Song, Weike; Yokota, Tomoyuki; Someya, Takao; Zhao, Zhao; Li, Yuhang; Yu, Xinge.
Afiliación
  • Liu Y; Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Jia S; Department of Electrical Engineering and Information systems, The University of Tokyo, Tokyo, 113-8656, Japan.
  • Yiu CK; Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Park W; Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, 999077, Hong Kong, China.
  • Chen Z; Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Nan J; Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, 999077, Hong Kong, China.
  • Huang X; Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Chen H; Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Li W; Hong Kong Center for Cerebra-Cardiovascular Health Engineering, Hong Kong Science Park, New Territories, 999077, Hong Kong, China.
  • Gao Y; Institute of Solid Mechanics, Beihang University, 100191, Beijing, China.
  • Song W; Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Yokota T; Department of Electrical Engineering and Information systems, The University of Tokyo, Tokyo, 113-8656, Japan.
  • Someya T; Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Zhao Z; Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
  • Li Y; China Special Equipment Inspection and Research Institute, 100029, Beijing, China.
  • Yu X; Department of Electrical Engineering and Information systems, The University of Tokyo, Tokyo, 113-8656, Japan.
Nat Commun ; 15(1): 4474, 2024 May 25.
Article en En | MEDLINE | ID: mdl-38796514
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Olfato / Algoritmos / Inteligencia Artificial / Dispositivos Electrónicos Vestibles / Odorantes Límite: Adult / Humans / Male Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Olfato / Algoritmos / Inteligencia Artificial / Dispositivos Electrónicos Vestibles / Odorantes Límite: Adult / Humans / Male Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2024 Tipo del documento: Article País de afiliación: China