Sign language recognition systems: A decade systematic literature review

A Wadhawan, P Kumar - Archives of computational methods in …, 2021 - Springer
Despite the importance of sign language recognition systems, there is a lack of a Systematic
Literature Review and a classification scheme for it. This is the first identifiable academic …

Sign language recognition using intrinsic-mode sample entropy on sEMG and accelerometer data

VE Kosmidou, LJ Hadjileontiadis - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Sign language forms a communication channel among the deaf; however, automated
gesture recognition could further expand their communication with the hearers. In this work …

A novel phonology-and radical-coded Chinese sign language recognition framework using accelerometer and surface electromyography sensors

J Cheng, X Chen, A Liu, H Peng - Sensors, 2015 - mdpi.com
Sign language recognition (SLR) is an important communication tool between the deaf and
the external world. It is highly necessary to develop a worldwide continuous and large …

[HTML][HTML] Applications of Entropy in Data Analysis and Machine Learning: A Review

SA Sepúlveda-Fontaine, JM Amigó - Entropy, 2024 - mdpi.com
Since its origin in the thermodynamics of the 19th century, the concept of entropy has also
permeated other fields of physics and mathematics, such as Classical and Quantum …

A deep learning based iot framework for assistive healthcare using gesture based interface

S Avadut, SK Udgata - … Conference on Internet of Things and …, 2022 - ieeexplore.ieee.org
Around the world, the number of senior citizens is increasing and shall continue to increase,
and it is expected to be around 20 percent by 2050. Realizing its importance, the United …

Gesturekeeper: Gesture recognition for controlling devices in iot environments

V Sideridis, A Zacharakis, G Tzagkarakis… - 2019 27th European …, 2019 - ieeexplore.ieee.org
This paper introduces and evaluates the Gesture-Keeper, a robust hand-gesture recognition
system based on a wearable inertial measurements unit (IMU). The identification of the time …

A system for accelerometer-based gesture classification using artificial neural networks

RM Stephenson, GR Naik… - 2017 39th Annual …, 2017 - ieeexplore.ieee.org
A great many people suffer from neurological movement disorders that render typical
hardware interface devices ineffective. A need exists for a universal interface device that can …

FUZZY INTRINSIC MODE ENTROPY FOR DATA FEATURE EXTRACTION

GS Tsolis, TD Xenos - Advances in Adaptive Data Analysis, 2012 - World Scientific
The notion of fuzzy entropy (FuzzyEn) is extended to the multiscale case by combining
FuzzyEn and empirical mode decomposition (EMD). The proposed technique, fuzzy intrinsic …

EMD-KURTOSIS: A New Classification Domain for Automated Greek Sign Language Gesture Recognition

VE Kosmidou, LJ Hadjileontiadis - … ECIFMBE 2008 23–27 November 2008 …, 2009 - Springer
Sign Language (SL), structured on a set of gestures, is the communication channel between
the deaf; this, however, requires extra intervention, such as SL translator, to facilitate the …