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Kinematic Reconstruction with Inertial Measurement Units
This student project aims to develop a sensor-based assessment system using inertial measurement units (IMU) to measure joint kinematics of the upper limbs and thorax. To validate the system's efficacy, able-bodied participants will be recruited and the data will be compared with the gold standard provided by an optical motion capture system.
The main objective of this student project is to develop a sensor-based assessment system for measuring joint kinematics of the upper limbs and thorax using IMUs. The project will employ a carefully designed setup consisting of five IMUs to accurately reconstruct anatomical landmarks of the upper limb and thorax based on the IMU data. To validate the system's efficacy, able-bodied participants will be recruited and the data will be compared with the gold standard provided by an optical motion capture system. The project will evaluate the accuracy and robustness of the IMU-based kinematic reconstruction compared to the motion capture system.
The main objective of this student project is to develop a sensor-based assessment system for measuring joint kinematics of the upper limbs and thorax using IMUs. The project will employ a carefully designed setup consisting of five IMUs to accurately reconstruct anatomical landmarks of the upper limb and thorax based on the IMU data. To validate the system's efficacy, able-bodied participants will be recruited and the data will be compared with the gold standard provided by an optical motion capture system. The project will evaluate the accuracy and robustness of the IMU-based kinematic reconstruction compared to the motion capture system.
The internship aims to create a reliable and efficient IMU-based system capable of accurately measuring upper limb and thorax joint angles, contributing to the advancement of neurological rehabilitation assessment.
The internship aims to create a reliable and efficient IMU-based system capable of accurately measuring upper limb and thorax joint angles, contributing to the advancement of neurological rehabilitation assessment.
Literature research, measurements with able-bodied participants, data analysis, orientation estimation
Literature research, measurements with able-bodied participants, data analysis, orientation estimation
The ideal candidate for this project should have a background in mechanical engineering/ health sciences and technology/ electrical engineering/ biomedical engineering. You are highly motivated and interested in biomechanics, IMUs, and their applications. Additionally, you are excited to apply your analytical and problem-solving skills and can work independently and in a team environment. Experience in sensor data processing, as well as proficiency in working with motion capture systems, are a plus.
The ideal candidate for this project should have a background in mechanical engineering/ health sciences and technology/ electrical engineering/ biomedical engineering. You are highly motivated and interested in biomechanics, IMUs, and their applications. Additionally, you are excited to apply your analytical and problem-solving skills and can work independently and in a team environment. Experience in sensor data processing, as well as proficiency in working with motion capture systems, are a plus.
If you are interested or have further questions, please contact Laura Mayrhuber (laura.mayrhuber@hest.ethz.ch).
Please include your CV and transcript of records in your application.
If you are interested or have further questions, please contact Laura Mayrhuber (laura.mayrhuber@hest.ethz.ch). Please include your CV and transcript of records in your application.
Project_Announcement_Kinematic_Reconstruction.pdf
