Mahir Meghji
Papers
1
Total Citations
33
H-Index
1
About
Mahir Meghji is a researcher at the intersection of sports science, sensor technology, and data analytics, with a primary focus on human movement analysis and performance quantification. His most influential work introduces a novel algorithm for the automatic detection and quantification of athletes’ change of direction incidents using inertial measurement unit (IMU) sensor data. This contribution, published in 2019 and garnering 33 citations, addresses a critical gap in sports biomechanics by enabling precise, real-time tracking of dynamic movements without reliance on complex laboratory setups. By leveraging orientation tracking techniques—applicable to fields as diverse as military navigation, surgical aids, and virtual reality—Meghji’s algorithm offers a scalable solution for coaches and researchers to assess agility and injury risk in field sports. His work stands out for its practical impact, bridging the gap between theoretical sensor fusion and applied athletic monitoring. Through this research, Meghji has established himself as a key contributor to the growing field of wearable technology in sports, providing tools that enhance both performance analysis and athlete safety.
Research Focus
Key Achievements
Top Papers
- 1