Widhi Winata Sakti
Papers
2
Total Citations
7
H-Index
2
About
Widhi Winata Sakti is a researcher at the forefront of assistive neurotechnology, specializing in Brain-Computer Interfaces (BCI), artificial intelligence, and the Internet of Things (IoT). His work focuses on translating neural signals into tangible commands for robotic prosthetic arms, directly addressing the mobility challenges faced by individuals with disabilities such as hand amputations. Sakti’s key contributions lie in developing deep learning and dynamically evolved neural network models to classify hand movements from electroencephalography (EEG) signals. His 2021 paper, "Artificial Intelligence IoT based EEG Application using Deep Learning for Movement Classification," which has garnered 5 citations, pioneered the integration of IoT with AI-driven EEG analysis for real-time prosthetic control. Building on this, his 2022 study, "Brain-Computer Interface based on Neural Network with Dynamically Evolved for Hand Movement Classification," with 2 citations, advanced the field by creating adaptive control systems that allow prosthetic robots to predict user intent more intuitively. By merging BCI with evolving neural architectures, Sakti is helping to make assistive devices feel like a natural extension of the human body, offering a promising path toward greater independence for those with limited motor function.
Research Focus
Key Achievements
Top Papers
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- 2