Mbiatke Anthony Bassey
Papers
1
Total Citations
2
H-Index
1
About
Dr. Mbiatke Anthony Bassey is a forward-thinking researcher at the intersection of artificial intelligence, robotics, and the arts. His primary research areas include machine learning for image recognition, robotic vision, and the novel application of AI to dance movement analysis. Dr. Bassey’s major contribution lies in synthesizing diverse ML techniques—such as Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), and Self-Organizing Maps (SOMs)—to bridge the gap between computational vision and human expression. His seminal 2025 literature review, which has already garnered 2 citations, provides a comprehensive framework for using AI to interpret complex, non-verbal human motions, opening new pathways for human-robot interaction and creative robotics. This work is notable for its interdisciplinary scope, demonstrating how advanced neural architectures can decode the nuances of dance while simultaneously enhancing robotic perception. Dr. Bassey’s research is particularly impactful for students and engineers exploring the frontiers of embodied AI, where machines learn not just to see, but to understand and respond to the fluidity of human movement.
Research Focus
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Top Papers
- 1