Madina Abdrakhmanova
Papers
1
Total Citations
89
H-Index
1
About
Madina Abdrakhmanova is a leading researcher in assistive robotics and human-machine interaction, with a focus on advancing lower limb prosthetics through innovative sensing and machine learning techniques. Her most cited work, "User-Independent Intent Recognition for Lower Limb Prostheses Using Depth Sensing" (2017, 89 citations), addresses a critical challenge in prosthetic control: the need for user-specific training data and the delays inherent in traditional mechanical or electromyographic sensors. By pioneering the use of depth sensing technology, she developed a user-independent intent recognition system that eliminates the need for individualized calibration, significantly improving responsiveness and accessibility for amputees. This contribution has been widely recognized for its potential to transform prosthetic functionality, enabling more natural and intuitive movement. Abdrakhmanova’s research bridges robotics, computer vision, and rehabilitation engineering, with her work cited extensively in studies on intent recognition and adaptive control systems. Her achievements highlight a commitment to creating inclusive, real-world solutions that enhance mobility and quality of life for individuals with limb loss.
Research Focus
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Top Papers
- 1