Outdoor running gait and performance analysis for athletes using acceleration and in-shoe pressure sensors
2025
0 views
0 downloads
Advisor: Doç. Dr. Ahmet Aydın
Abstract (EN)
In recent years, the integration of Inertial Measurement Unit (IMU) sensors and in-shoe pressure sensors has made significant advancements in gait analysis. IMU sensors accurately track the three-dimensional movements of body segments, while in-shoe pressure sensors measure the pressure distribution on the foot and the interaction with the ground, analyzing the forces applied during walking. The combination of these two types of sensors provides rich data on gait kinematics and kinetics, offering important insights for rehabilitation processes and sports performance. The combined use of IMU and pressure sensors provides comprehensive data to optimize athletes' walking performance. This data is crucial for detecting abnormal gait patterns, correcting technical errors, and personalizing individual training programs. Additionally, the real-time feedback provided by these sensors allows athletes to improve their training processes, reduce the risk of injury, and enhance their performance. In this study, a wireless gait analysis system prototype has been developed for outdoor use, utilizing both IMU sensors and pressure sensors. This prototype aims to help athletes better understand their walking dynamics and improve their performance. The developed system stands out as an important tool for providing a more effective feedback mechanism in athletes' training processes, contributing to both performance enhancement and injury risk reduction.
Author
Dr. Nazlı Yaren Dağ
Institution
How to Cite
Nazlı Yaren Dağ (Master Thesis). Outdoor running gait and performance analysis for athletes using acceleration and in-shoe pressure sensors, 2025, Çukurova University.
License
Tüm Hakları Saklıdır
This work is shared under the specified license terms.
More theses from Çukurova University
- The effects of collaborative video-blog projects on Turkish EFL students' linguistic and digital literacy skills(2025)
- Credit risk management in banking sector: An application of variables determining credit risk in Turkish banking sector(2011)
- A comprehensive study on indirect evaporative coolers: CFD-based performance analysis, geometric optimization and machine learning models(2025)
- A Model for effective supervision from the supervisor and the student-teacher`s perspective: A social constructivist approach(2003)
- Determination of levels of bacterial contamination in the Aksu River (Kahramanmaraş) and determination of antibiotic and heavy metal resistance in Enterobacteriaceae species(2003)
- Application of reproduction methods in textile finishing and investigation of effects of these methods on fabric performance(2004)
