Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
Department of Electrical Engineering and Information systems, The University of Tokyo, Tokyo, 113-8656, Japan.
Nat Commun. 2024 May 25;15(1):4474. doi: 10.1038/s41467-024-48884-z.
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.
嗅觉反馈系统可用于刺激人类情绪、提高警觉性、提供临床治疗以及建立沉浸式虚拟环境。目前,已报道的嗅觉反馈技术仍然面临许多严峻的挑战,包括气味操作的人类可感知延迟、笨拙的尺寸和有限的气味供应。在此,我们报告了一种解决这些问题的通用策略,该策略涉及基于小型化气味发生器 (OG) 和先进人工智能 (AI) 算法的可穿戴高性能嗅觉接口。OG 是智能嗅觉接口的核心技术,其在毫秒级响应时间、毫瓦级功耗和小型化尺寸方面取得了里程碑式的进展。借助强大的 AI 算法,嗅觉接口在无延迟混合现实 (MR) 和快速嗅觉增强方面显示出巨大的潜力,从而在电子设备和用户之间建立了桥梁,可广泛应用于娱乐、教育、医疗和人机界面等领域。