Evidence map›Paper›PMID 42524216›Full record

ArticleDevice2026

Multimodal, wearable sensors with tactile communication capabilities for human and robotic applications.

Baha Erim Uzunoglu, Oluwatobi Ojuade, Kayla Hepler, Mahaboobbatcha Aleem, Rajaram Kaveti, Krish Kathpalia, Kyle Su, Bunyamin Sahin, Veena Misra, Charles Dhong and 2 more

Abstract read
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In one paragraph

Article in Device, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Baha Erim UzunogluDepartment of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA.
Oluwatobi OjuadeDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
Kayla HeplerDepartment of Material Science & Biomedical Engineering, University of Delaware, Newark, Delaware, USA.
Mahaboobbatcha AleemDepartment of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA.
Rajaram KavetiDepartment of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA.
Krish KathpaliaDepartment of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA.
Kyle SuDepartment of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA.
Bunyamin SahinDepartment of Basic Sciences, Faculty of Engineering, Necmettin Erbakan University, Konya, Turkey.
Veena MisraDepartment of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA.
Charles DhongDepartment of Material Science & Biomedical Engineering, University of Delaware, Newark, Delaware, USA.
Lilian C HsiaoDepartment of Chemical and Biomolecular Engineering, North Carolina State University, Raleigh, NC, USA.
Amay J BandodkarDepartment of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA.

Funding

Research Supplements to Promote Diversity in Health-Related Research (Admin Supp)R01EY032584 · NEI · UNIVERSITY OF DELAWARE · PI Charles B. Dhong · 2022 to 2026
$2.0M
NEI NIH HHS R01 EY032584
6 · The paper itself

Abstract

We demonstrate a multimodal, wearable device with haptics-based communication that enables wearers to perceive environmental hazards through vibrations. The device monitors gaseous, aerosolized, and aqueous contaminants and conveys threshold events via distinct tactile codes. Energy harvesting with low power sensing methods yield a high-fidelity system with day long operation. Communication can be extended from humans to robots by engineering a soft electronic skin (e-skin) incorporating an array of transducers embedded in silicone that resolves the temporal structure of the tactile codes. On a quadrupedal robot, the e-skin decodes haptic sequences to trigger adaptive re-routing upon detecting chemical hazards, bypassing the need for wireless communication. Our approach introduces a framework in which chemical awareness is communicated physically rather than electronically, opening opportunities for embodied intelligence, distributed sensing, and human-robot interactions.

Indexed as

energy harvesterenvironmental sensore-skinHaptic feedbacklow power sensingroboticswearables

Identifiers

PMID42524216
PMCPMC13410864

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.