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 …
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 …
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
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 …
Therefore, amputee people experience many difficulties in daily life. To overcome these …
American sign language recognition using leap motion controller with machine learning approach
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 …
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
Sign language is the most natural and effective way for communications among deaf and
normal people. American Sign Language (ASL) alphabet recognition (ie fingerspelling) …
normal people. American Sign Language (ASL) alphabet recognition (ie fingerspelling) …
Application of min-max normalization on subject-invariant EMG pattern recognition
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 …
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
Gesture recognition via surface electromyography (sEMG) has drawn significant attention in
the field of human–computer interaction. An important factor limiting the performance of …
the field of human–computer interaction. An important factor limiting the performance of …
Assessment of dry epidermal electrodes for long-term electromyography measurements
Commercially available electrodes can only provide quality surface electromyography
(sEMG) measurements for a limited duration due to user discomfort and signal degradation …
(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
Sign language recognition has made significant advances in recent years. Many
researchers show interest in encouraging the development of different applications to …
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 …
and can be used as the input signal to a myoelectric intelligent bionic hand to control …