Adnan Waqar

Edith Cowan University, Dawood University of Engineering and Technology

Papers

Total Citations

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About

Adnan Waqar’s research sits at the intersection of sports science, wearable technology, and precise positioning systems, with a focus on enhancing athletic performance monitoring. His most impactful contribution is a novel algorithm for the automatic detection and quantification of athletes’ change of direction incidents using IMU sensor data—a 2019 paper that has garnered 33 citations and addresses a critical gap in real-time movement analysis. This work has direct applications in training optimization and injury prevention, leveraging orientation tracking technology also used in military, surgical, and robotics fields. Waqar has further advanced the accuracy of athlete tracking by integrating multiband RTK GNSS modules and UWB positioning systems into Electronic Performance Tracking Systems (EPTS) and smartwatches, as detailed in his 2020 study. His earlier work on Kinect-controlled unmanned ground vehicles (UGVs) demonstrates a broader interest in sensor fusion and human-machine interfaces. Through these contributions, Waqar is helping to bridge the gap between consumer wearables and professional-grade sports analytics, making precise, real-time biomechanical feedback more accessible to athletes and coaches.