Urs Granacher
Orcid: 0000-0002-7095-813X
According to our database1,
Urs Granacher
authored at least 7 papers
between 2020 and 2023.
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Bibliography
2023
PERSIST: A Multimodal Dataset for the Prediction of Perceived Exertion during Resistance Training.
Data, January, 2023
2022
Using Transparent Neural Networks and Wearable Inertial Sensors to Generate Physiologically-Relevant Insights for Gait.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022
2021
TRIPOD - A Treadmill Walking Dataset with IMU, Pressure-Distribution and Photoelectric Data for Gait Analysis.
Data, 2021
Using Machine Learning to Predict Perceived Exertion During Resistance Training With Wearable Heart Rate and Movement Sensors.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021
2020
How We Found Our IMU: Guidelines to IMU Selection and a Comparison of Seven IMUs for Pervasive Healthcare Applications.
Sensors, 2020
Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study.
Sensors, 2020
Validation of an IMU Gait Analysis Algorithm for Gait Monitoring in Daily Life Situations.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020