Savanna Blade
Papers
1
Total Citations
5
H-Index
1
About
Savanna Blade is a rising star in the field of assistive robotics and human-machine interaction, with a focused expertise in intelligent prosthetic systems. Her most significant contribution to date is the development of a groundbreaking wireless prosthetic hand that integrates surface electromyography (sEMG) control with real-time force feedback. At the heart of this innovation is a novel, ultra-efficient CNN-Transformer model, which, at just 169 kB, is one of the smallest deep learning architectures capable of classifying 21 distinct hand gestures from sEMG signals. This work, published in 2023, has already garnered 5 citations, signaling its rapid impact on the research community. By dramatically reducing the computational footprint required for complex gesture recognition, Blade’s research paves the way for more responsive, affordable, and accessible bionic limbs. Her work stands at the exciting intersection of embedded AI and biomedical engineering, promising to transform the quality of life for amputees by enabling more natural and intuitive control of their prosthetic devices.
Research Focus
Key Achievements
Top Papers
- 1