Urs Granacher

Orcid: 0000-0002-7095-813X

According to our database1, Urs Granacher authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Mitigating Modality-Based Interference: Multitasking practice and the distinctiveness of task representation in sensory brain regions.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023
PERSIST: A Multimodal Dataset for the Prediction of Perceived Exertion during Resistance Training.
Data, January, 2023

2022
DUO-GAIT: A Gait Dataset for Walking under Dual-Task and Fatigue Conditions with Inertial Measurement Units.
Dataset, December, 2022

DUO-GAIT: A Gait Dataset for Walking under Dual-Task and Fatigue Conditions with Inertial Measurement Units.
Dataset, December, 2022

DUO-GAIT: A Gait Dataset for Walking under Dual-Task and Fatigue Conditions with Inertial Measurement Units.
Dataset, December, 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.
Dataset, July, 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


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