Quantitative survey of the state of the art in sign language recognition

O Koller - arXiv preprint arXiv:2008.09918, 2020 - arxiv.org
This work presents a meta study covering around 300 published sign language recognition
papers with over 400 experimental results. It includes most papers between the start of the …

Sign language recognition using the electromyographic signal: a systematic literature review

A Ben Haj Amor, O El Ghoul, M Jemni - Sensors, 2023 - mdpi.com
The analysis and recognition of sign languages are currently active fields of research
focused on sign recognition. Various approaches differ in terms of analysis methods and the …

Surface EMG signal classification using ternary pattern and discrete wavelet transform based feature extraction for hand movement recognition

T Tuncer, S Dogan, A Subasi - Biomedical signal processing and control, 2020 - Elsevier
Hands are two of the most crucial organs and they play major role for human activities.
Therefore, amputee people experience many difficulties in daily life. To overcome these …

American sign language recognition using leap motion controller with machine learning approach

TW Chong, BG Lee - Sensors, 2018 - mdpi.com
Sign language is intentionally designed to allow deaf and dumb communities to convey
messages and to connect with society. Unfortunately, learning and practicing sign language …

User-independent American sign language alphabet recognition based on depth image and PCANet features

W Aly, S Aly, S Almotairi - IEEE Access, 2019 - ieeexplore.ieee.org
Sign language is the most natural and effective way for communications among deaf and
normal people. American Sign Language (ASL) alphabet recognition (ie fingerspelling) …

Application of min-max normalization on subject-invariant EMG pattern recognition

MJ Islam, S Ahmad, F Haque, MBI Reaz… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Surface electromyography (EMG) is one of the promising signals for the recognition of the
intended hand movement of an amputee. Nevertheless, there are several barriers to its …

Toward generalization of sEMG-based pattern recognition: A novel feature extraction for gesture recognition

C Shen, Z Pei, W Chen, J Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Gesture recognition via surface electromyography (sEMG) has drawn significant attention in
the field of human–computer interaction. An important factor limiting the performance of …

Assessment of dry epidermal electrodes for long-term electromyography measurements

M Yamagami, KM Peters, I Milovanovic, I Kuang… - Sensors, 2018 - mdpi.com
Commercially available electrodes can only provide quality surface electromyography
(sEMG) measurements for a limited duration due to user discomfort and signal degradation …

A multimodal LIBRAS-UFOP Brazilian sign language dataset of minimal pairs using a microsoft Kinect sensor

LR Cerna, EE Cardenas, DG Miranda, D Menotti… - Expert Systems with …, 2021 - Elsevier
Sign language recognition has made significant advances in recent years. Many
researchers show interest in encouraging the development of different applications to …

A Hand Gesture Recognition Strategy Based on Virtual-Dimension Increase of EMG

Y Wang, Y Tian, J Zhu, H She, Y Jiang… - Cyborg and Bionic …, 2024 - spj.science.org
The electromyography (EMG) signal is the biocurrent associated with muscle contraction
and can be used as the input signal to a myoelectric intelligent bionic hand to control …