M. Y. Alfani
Papers
1
Total Citations
2
H-Index
1
About
M. Y. Alfani’s research centers on assistive robotics and human–machine interaction, with a particular focus on developing intelligent systems for individuals with severe physical disabilities. Their most cited work, “Comparison of extreme learning machine and neural network method on hand typist robot for quadriplegic person” (2017, 2 citations), makes a significant contribution by systematically evaluating the predictive accuracy of Extreme Learning Machine versus Backpropagation Neural Network methods for controlling a robotic typing hand. Alfani demonstrates that selecting the optimal algorithm is critical—an error in method choice can lead to suboptimal predictions, directly impacting the robot’s usability for quadriplegic users. This comparative analysis provides a practical framework for engineers designing assistive devices, highlighting trade-offs between learning speed and precision. While their citation count is modest, the work’s applied focus on improving quality of life through accessible technology underscores its importance. Alfani’s research bridges machine learning and rehabilitation engineering, offering actionable insights for developing more responsive, user-friendly robotic aids.
Research Focus
Key Achievements
Top Papers
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