Zahra Ramezanpanah
Papers
1
Total Citations
14
H-Index
1
About
Zahra Ramezanpanah is a researcher at the intersection of human-robot interaction and movement analysis, with a primary focus on advancing automated human behavior recognition. Her most cited work, "Human Action Recognition Using Laban Movement Analysis and Dynamic Time Warping" (2020, 14 citations), introduces a novel framework that combines Laban Movement Analysis—a system for describing and interpreting human movement—with Dynamic Time Warping to enable machines to automatically identify and respond to human actions. This contribution is pivotal for achieving seamless bilateral interaction between humans and robots, a key challenge in modern robotics. By bridging computational techniques with embodied movement theory, Ramezanpanah’s research offers practical pathways for more intuitive and responsive robotic systems. Her work stands out for its interdisciplinary approach, merging insights from dance, kinesiology, and computer science to solve real-world problems in automation. With growing recognition in the field, her studies continue to inspire further exploration into how robots can better understand and collaborate with humans in dynamic environments.
Research Focus
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Top Papers
- 1