Evidence map›Paper›PMID 39698892›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

Triboelectric Mat Multimodal Sensing System (TMMSS) Enhanced by Infrared Image Perception for Sleep and Emotion-Relevant Activity Monitoring.

Jinlong Xu, Xinge Guo, Zixuan Zhang, Huajun Liu, Chengkuo Lee

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

5 authors.

Jinlong XuDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID https://orcid.org/0009-0004-0227-757X
Xinge GuoDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Zixuan ZhangDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.
Huajun LiuInstitute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), Singapore, 138634, Republic of Singapore.ORCID https://orcid.org/0000-0002-0540-6486
Chengkuo LeeDepartment of Electrical and Computer Engineering, National University of Singapore, Singapore, 117583, Singapore.ORCID https://orcid.org/0000-0002-8886-3649

Funding

Ministry of Education A-0009520-01-00NRF Competitive Research Programme CRP28-2022-0038Piezo Specialty Lab-in-Fab RIE2025 IAF-ICP (12301E0027)Research Platform for biomedical and Health Technology NUS(Suzhou)ResearchInstitute(RP-BHT-Prof.LEEChengkuo)
6 · The paper itself

Abstract

To implement digital-twin smart home applications, the mat sensing system based on triboelectric sensors is commonly used for gait information collection from daily activities. Yet traditional mat sensing systems often miss upper body motions and fail to adequately project these into the virtual realm, limiting their specific application scenarios. Herein, triboelectric mat multimodal sensing system is designed, enhanced with a commercial infrared imaging sensor, to capture diverse sensory information for sleep and emotion-relevant activity monitoring without compromising privacy. This system generates pixel-based area ratio mappings across the entire mat array, solely based on the integral operation of triboelectric outputs. Additionally, it utilizes multimodal sensory intelligence and deep-learning analytics to detect different sleeping postures and monitor comprehensive sleep behaviors and emotional states associated with daily activities. These behaviors are projected into the metaverse, enhancing virtual interactions. This multimodal sensing system, cost-effective and non-intrusive, serves as a functional interface for diverse digital-twin smart home applications such as healthcare, sports monitoring, and security.

Indexed as

EmotionsSleepHumansInfrared RaysMonitoring, PhysiologicWearable Electronic Devicesdeep learningdigital twinmultimodalitysmart hometriboelectric sensor

Identifiers

PMID39698892
PMCPMC11809373

What OpenQuestion holds

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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.