ArticleNature communications2022
Pushing the limits of remote RF sensing by reading lips under the face mask.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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.
Who cites it
9 citing papers in PubMed.
- Smart Face Masks as Wearable Respiratory Sensors: A Review of Sensor Technologies, Materials, and Future Directions.Advanced healthcare materials · 2026Review
- Unsupervised Clustering and Ensemble Learning for Classifying Lip Articulation in Fingerspelling.Sensors (Basel, Switzerland) · 2025Article
- A guidance to intelligent metamaterials and metamaterials intelligence.Nature communications · 2025Review
- Artificial intelligence enabled smart mask for speech recognition for future hearing devices.Scientific reports · 2024Article
- Microwave Speech Recognizer Empowered by a Programmable Metasurface.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Computer-Vision Based Gesture-Metasurface Interaction System for Beam Manipulation and Wireless Communication.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Wide-range soft anisotropic thermistor with a direct wireless radio frequency interface.Nature communications · 2024Article
- A comprehensive multimodal dataset for contactless lip reading and acoustic analysis.Scientific data · 2023Article
- Pushing the limits of remote RF sensing by reading lips under the face mask.Nature communications · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The problem of Lip-reading has become an important research challenge in recent years. The goal is to recognise speech from lip movements. Most of the Lip-reading technologies developed so far are camera-based, which require video recording of the target. However, these technologies have well-known limitations of occlusion and ambient lighting with serious privacy concerns. Furthermore, vision-based technologies are not useful for multi-modal hearing aids in the coronavirus (COVID-19) environment, where face masks have become a norm. This paper aims to solve the fundamental limitations of camera-based systems by proposing a radio frequency (RF) based Lip-reading framework, having an ability to read lips under face masks. The framework employs Wi-Fi and radar technologies as enablers of RF sensing based Lip-reading. A dataset comprising of vowels A, E, I, O, U and empty (static/closed lips) is collected using both technologies, with a face mask. The collected data is used to train machine learning (ML) and deep learning (DL) models. A high classification accuracy of 95% is achieved on the Wi-Fi data utilising neural network (NN) models. Moreover, similar accuracy is achieved by VGG16 deep learning model on the collected radar-based dataset.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.