Kanyanat Javana
Papers
1
Total Citations
2
H-Index
1
About
Kanyanat Javana is an emerging researcher in sensor fusion and embedded systems engineering, with a focus on improving motion estimation for robotics, navigation, and biomedical applications. Her most-cited work, "Comparative Analysis of Sensor Fusion for Angle Estimation Using Kalman and Complementary Filters" (2024), provides a rigorous evaluation of two fundamental filtering techniques using the IMU6050 sensor. By systematically comparing the Kalman filter and complementary filter for angle estimation from accelerometer and gyroscope data, Javana offers practical insights into trade-offs between computational efficiency and accuracy—critical knowledge for real-time control systems. Though early in her career, her work has already garnered citations, signaling its relevance to engineers designing autonomous vehicles, drones, and wearable health monitors. Javana’s contributions help demystify sensor fusion choices, enabling more reliable and responsive systems. Her research stands at the intersection of signal processing and practical hardware implementation, laying groundwork for future innovations in low-cost, high-precision orientation tracking.
Research Focus
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Top Papers
- 1