Review of healthcare industry 4.0 application-based blockchain in terms of security and privacy development attributes: Comprehensive taxonomy, open issues and …

S Qahtan, K Yatim, H Zulzalil, MH Osman… - Journal of Network and …, 2023 - Elsevier
This paper has been contributed on the basis of three main goals, namely, to identify the
research gaps, challenges and open issues in the academic literature related to the …

A review of hand gesture recognition systems based on noninvasive wearable sensors

R Tchantchane, H Zhou, S Zhang… - Advanced Intelligent …, 2023 - Wiley Online Library
Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …

[HTML][HTML] A comparative study of evaluating and benchmarking sign language recognition system-based wearable sensory devices using a single fuzzy set

S Qahtan, HA Alsattar, AA Zaidan, M Deveci… - Knowledge-Based …, 2023 - Elsevier
Recent research has focused on developing real-time sign language recognition systems
(SLRSs) based on gesture recognition to classify hand motions into their equivalent …

Evaluation of the routing algorithms for NoC-based MPSoC: a fuzzy multi-criteria decision-making approach

YR Muhsen, NA Husin, MB Zolkepli, N Manshor… - IEEE …, 2023 - ieeexplore.ieee.org
Routing algorithms play a crucial role in the performance of Network-on-Chip (NoC)-based
Multi-Processor Systems-on-Chip (MPSoC). However, the selection of appropriate and …

Sign language/gesture recognition based on cumulative distribution density features using UWB radar

B Li, J Yang, Y Yang, C Li… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
It is an important topic to effectively perceive the gestures of the elderly and patients,
communicate conveniently with the deaf and dumb, and accurately transmit abnormal alarm …

New extension of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score method based on cubic pythagorean fuzzy environment: a benchmarking …

AH Alamoodi, OS Albahri, AA Zaidan… - International Journal of …, 2022 - Springer
Many of the current fuzzy sets based on intuitionistic fuzzy concepts suffer from different
limitations. Different approaches towards that end in the form of scientific works have been …

Extension of interval-valued Pythagorean FDOSM for evaluating and benchmarking real-time SLRSs based on multidimensional criteria of hand gesture recognition …

MS Al-Samarraay, AA Zaidan, OS Albahri… - Applied Soft …, 2022 - Elsevier
Several DataGlove wearable electronic devices based on real-time Sign Language
Recognition Systems (SLRSs) have been developed recently to assist the deaf and dumb …

A new extension of FDOSM based on Pythagorean fuzzy environment for evaluating and benchmarking sign language recognition systems

MS Al-Samarraay, MM Salih, MA Ahmed… - Neural Computing and …, 2022 - Springer
Many studies have recently developed real-time sign language recognition system (SLRS)-
based DataGlove wearable electronic devices for deaf and dumb to assort hand gestures as …

American sign language words recognition using spatio-temporal prosodic and angle features: A sequential learning approach

SB Abdullahi, K Chamnongthai - IEEE Access, 2022 - ieeexplore.ieee.org
Most of the available American Sign Language (ASL) words share similar characteristics.
These characteristics are usually during sign trajectory which yields similarity issues and …

A pattern recognition model for static gestures in malaysian sign language based on machine learning techniques

AH Alrubayi, MA Ahmed, AA Zaidan, AS Albahri… - Computers and …, 2021 - Elsevier
This work proposes a pattern recognition model for static gestures in Malaysian Sign
Language (MSL) based on Machine Learning (ML) techniques. The proposed model is …