Rabia Demirci
Papers
1
Total Citations
5
H-Index
1
About
Rabia Demirci is a researcher at the forefront of human-computer interaction and wearable sensing technologies, with a particular focus on advancing low-cost, high-accuracy motion capture systems. Her most cited work, "A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning" (2021, 5 citations), introduces an innovative approach to tracking hand and finger movements that overcomes the limitations of traditional visual tracking systems, which require direct line of sight. By designing an affordable sensor glove, Demirci enables unrestricted motion capture for virtual reality applications and scientific research, making sophisticated trajectory model learning accessible to a broader range of users and institutions. This contribution is especially significant for fields such as rehabilitation, robotics, and immersive VR, where precise hand movement data is critical. Her work demonstrates a commitment to democratizing advanced sensing technology, balancing high accuracy with budget constraints, and has the potential to influence future developments in wearable interfaces and motion analysis.
Research Focus
Key Achievements
Top Papers
- 1A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning5 citations · 2021