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A real-time intelligent system based on machine-learning methods for improving ...

Leiva, Víctor; Rahman, Muhammad Zia Ur; Akbar, Muhammad Azeem; Castro, Cecilia; Huerta, Mauricio; Riaz, Muhammad Tanveer

In this article, we introduce a cost-effective and real-time intelligent system tailored to Pakistan sign language (PSL) recognition, aimed at facilitating communication for hearing-impaired individuals. The system utilizes a specialized glove equipped with flex sensors and an MPU-6050 device to capture finger movements and hand orientation in a three-dimensional space. A dataset comprising ten unique PSL signs...


Optimized design and analysis of cable-based parallel manipulators for enhanced...

Ghaffar, Asim; Rahman, Muhammad Zia Ur; Leiva, Víctor; Castro, Cecília

The subsea exploration of complex and challenging areas has increased the need for advanced robotic frameworks, such as cable-based parallel manipulators (CPMs). Known for their flexibility and precision, CPMs are essential for performing detailed tasks underwater. In submarine environments, handling external underwater forces presents a significant challenge, necessitating the optimization of cable tension for...


Efficiency, optimality, and selection in a rigid actuation system with matching...

Ghaffar, Asim; Rahman, Muhammad Zia Ur; Leiva, Víctor; Martin-Barreiro, Carlos; Ali, Imran; Cabezas, Xavier; Castro, Cecilia

Selecting the right actuator for a portable exoskeleton involves a comprehensive evaluation of various design characteristics. In this study, we introduce a methodology for actuator selection based on specific tasks, enhancing the practical adoption of portable exoskeletons. By examining a range of candidate actuators designed for lower limb exoskeletons, our objective is to engineer a system that is both light...


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