Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Mohammed I. Awad"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Robots support and facilitate tasks in all life fields. Soft robots specifically have the advantages of inherent compliance, safe interaction and flexible deformability. Soft pneumatic network (Pneu-Net) is a soft pneumatic actuator (SPA) co
Externí odkaz:
https://doaj.org/article/50dfafc4ee694f7fac1d47abbfb43323
Autor:
Yasmine S Gomaa, Mohammed I Awad, Tamer Emara, Ahmed Elbokl, Emad Al-Yahya, Mohamed Magdy ElMeligie
Publikováno v:
BMJ Open, Vol 14, Iss 5 (2024)
Background Falls are common in older people and individuals with neurological conditions. Parkinson’s disease (PD) is known for postural instability causing mobility disabilities, falls and reduced quality of life. The fear of falling (FOF), a natu
Externí odkaz:
https://doaj.org/article/8392a7234b1b44278ca6c97160ffb54c
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 18 (2021)
This article presents the modeling process of the lower part of a humanoid biped robot in terms of kinematic/dynamic states and the creation of a full dynamic simulation environment for a walking robot using MATLAB/Simulink. This article presents two
Externí odkaz:
https://doaj.org/article/f590fdc6b2c848afac31bb6fc75adfbc
Publikováno v:
Micromachines, Vol 12, Iss 2, p 181 (2021)
The soft pneumatic actuators of an assistive exoskeleton hand glove are here designed. The design of the actuators focuses on allowing the actuator to perform the required bending and to restrict elongation or twisting of the actuator. The actuator i
Externí odkaz:
https://doaj.org/article/7d20bdbaf2fe44a286fa3fd58c309f5d
Publikováno v:
Martinez-Hernandez, U, Awad, M & Dehghani-Sanij, A 2022, ' Learning architecture for the recognition of walking and prediction of gait period using wearable sensors ', Neurocomputing, vol. 470, pp. 1-10 . https://doi.org/10.1016/j.neucom.2021.10.044
This work presents a novel learning architecture for the recognition and prediction of walking activity and gait period, respectively, using wearable sensors. This approach is composed of a Convolutional Neural Network (CNN), a Predicted Information
Publikováno v:
2022 4th Novel Intelligent and Leading Emerging Sciences Conference (NILES).
Publikováno v:
IEEE Access, Vol 9, Pp 107791-107803 (2021)
The standardization of the physical aspects of nanosatellites (also known as CubeSats) and their wide adoption in academia and industry has made the mass production and availability of off-the-shelf components possible. While this has led to a signif
Publikováno v:
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC).
Publikováno v:
2022 2nd International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC).
Publikováno v:
Journal of Al-Azhar University Engineering Sector. 15:1078-1098
Biological muscle is considered an inspiring actuator for the researchers in the field of biorobots. The main building unit of a muscle, sarcomere, and the study of its energy cycle is analyzed to mimic the micro-level muscle components’ behavior t