Gorka Marques
Papers
1
Total Citations
21
H-Index
1
About
Gorka Marques is a researcher at the forefront of human-robot interaction, specializing in wearable sensor technologies and efficient gesture recognition algorithms. His work addresses the critical need for more natural interfaces in industrial and domestic robotic systems. Marques's most influential contribution, "Efficient Algorithms for Accelerometer-Based Wearable Hand Gesture Recognition Systems" (2015), has garnered 21 citations, laying foundational groundwork for user-specific gesture control. By demonstrating that a single tri-axial accelerometer can power robust, real-time hand gesture recognition, he has advanced the practicality of wearable input devices. This research directly impacts the development of intuitive human-robot collaboration, reducing the complexity of interaction in automated environments. Marques's focus on algorithmic efficiency ensures his systems are not only accurate but also deployable on low-power hardware, a key achievement for real-world applications. His work continues to inspire new approaches in gesture-based control, making him a notable contributor to the evolution of seamless human-machine interfaces.
Research Focus
Key Achievements
Top Papers
- 1