ArticleSensors (Basel, Switzerland)2020
Analysis of Influence of Segmentation, Features, and Classification in sEMG Processing: A Case Study of Recognition of Brazilian Sign Language Alphabet.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- Sign Language Recognition Using the Electromyographic Signal: A Systematic Literature Review.Sensors (Basel, Switzerland) · 2023Pooled it
- Machine Learning as a Tool for the Development of Sign Recognition Systems: A Review.Journal of imaging · 2026Review
- Pattern Recognition in the Processing of Electromyographic Signals for Selected Expressions of Polish Sign Language.Sensors (Basel, Switzerland) · 2024Article
- Surgical Instrument Signaling Gesture Recognition Using Surface Electromyography Signals.Sensors (Basel, Switzerland) · 2023Article
- Multi-Category Gesture Recognition Modeling Based on sEMG and IMU Signals.Sensors (Basel, Switzerland) · 2022Article
- A novel silent speech recognition approach based on parallel inception convolutional neural network and Mel frequency spectral coefficient.Frontiers in neurorobotics · 2022Article
- Electromyogram-Based Classification of Hand and Finger Gestures Using Artificial Neural Networks.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
Sign Language recognition systems aid communication among deaf people, hearing impaired people, and speakers. One of the types of signals that has seen increased studies and that can be used as input for these systems is surface electromyography (sEMG). This work presents the recognition of a set of alphabet gestures from Brazilian Sign Language (Libras) using sEMG acquired from an armband. Only sEMG signals were used as input. Signals from 12 subjects were acquired using a Myo
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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.