Evidence map›Paper›PMID 38796514›Full record

ArticleNature communications2024

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

Yiming Liu, Shengxin Jia, Chun Ki Yiu, Wooyoung Park, Zhenlin Chen, Jin Nan, Xingcan Huang, Hongting Chen, Wenyang Li, Yuyu Gao and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Aroma: Mixed-Initiative AI Assistance for Non-Visual Cooking by Grounding Multimodal Information Between Reality and Videos.Proceedings of the ACM Symposium on User Interface Software and Technology. ACM Symposium on User Interface Software and Technology · 2025
    Article
  10. Miniaturized, portable gustation interfaces for VR/AR/MR.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Review
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Yiming Liu *Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.ORCID http://orcid.org/0000-0003-0134-1934
Shengxin Jia *Department of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.ORCID http://orcid.org/0000-0002-6998-3872
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.ORCID http://orcid.org/0000-0003-2250-3613
Zhenlin ChenDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
Jin NanInstitute of Solid Mechanics, Beihang University, 100191, Beijing, China.
Xingcan HuangDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.ORCID http://orcid.org/0000-0003-4210-2470
Hongting ChenDepartment of Electrical Engineering and Information systems, The University of Tokyo, Tokyo, 113-8656, Japan.
Wenyang LiDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
Yuyu GaoDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China.
Weike SongChina Special Equipment Inspection and Research Institute, 100029, Beijing, China.
Tomoyuki YokotaDepartment of Electrical Engineering and Information systems, The University of Tokyo, Tokyo, 113-8656, Japan.ORCID http://orcid.org/0000-0003-1546-8864
Takao SomeyaDepartment of Electrical Engineering and Information systems, The University of Tokyo, Tokyo, 113-8656, Japan. someya@ee.t.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0003-3051-1138
Zhao ZhaoChina Special Equipment Inspection and Research Institute, 100029, Beijing, China. zhaozhao@csei.org.cn.ORCID http://orcid.org/0009-0005-3045-688X
Yuhang LiInstitute of Solid Mechanics, Beihang University, 100191, Beijing, China. liyuhang@buaa.edu.cn.ORCID http://orcid.org/0000-0001-9865-5221
Xinge YuDepartment of Biomedical Engineering, City University of Hong Kong, Kowloong Tong, Hong Kong, China. xingeyu@cityu.edu.hk.ORCID http://orcid.org/0000-0003-0522-1171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AlgorithmsArtificial IntelligenceOdorantsSmellWearable Electronic DevicesAdultHumansMaleUser-Computer Interface

Identifiers

PMID38796514
PMCPMC11128017

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.