Daryoush Habibi

About

Daryoush Habibi’s research lies at the intersection of sensor technology, control systems, and sports engineering. His most impactful work focuses on developing algorithms to automatically detect and quantify athletes’ change-of-direction incidents using Inertial Measurement Unit (IMU) sensor data—a 2019 paper that has garnered 33 citations. This contribution is critical for performance analysis and injury prevention in professional sports. Habibi also explores the augmentation of Electronic Performance Tracking Systems (EPTS) and smartwatches using multiband RTK GNSS modules and UWB positioning systems, pushing the boundaries of athlete tracking accuracy. Earlier in his career, he contributed to robust control theory, designing adaptive sliding-mode controllers for rigid robotic manipulators subject to arbitrary bounded disturbances. His work demonstrates a sustained interest in bridging theoretical control methods with practical, real-world sensing applications—from robotics to elite sports monitoring. Habibi’s research has direct implications for wearable technology, sports science, and autonomous systems, making him a notable figure in applied sensor fusion and motion analysis.

Research Focus

Key Achievements

Top Papers

1. 1
   An Algorithm for the Automatic Detection and Quantification of Athletes’ Change of Direction Incidents Using IMU Sensor Data

   33 citations · 2019
2. 2
   A robust adaptive sliding-mode control for rigid robotic manipulators with arbitrary bounded input disturbances

   7 citations · 1996
3. 3
   Augmenting the Accuracy of EPTS and Smartwatches Using Multiband RTK GNSS Module and UWB Positioning System

   2 citations · 2020

Key Collaborators

Contact & Links