Intelligent wearable olfactory interface for latency-free mixed reality and fast olfactory enhancement
Yiming Liu, Shengxin Jia, Chun Ki Yiu, Woo‐Young Park, Zhenlin Chen, Nan Jin, Xingcan Huang, Hongting Chen, Wenyang Li, Yuyu Gao, Weike Song, Tomoyuki Yokota, Takao Someya, Zhao Zhao, Yuhang Li, Xinge Yu
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.