Clint Hansen
Orcid: 0000-0003-4813-3868
According to our database1,
Clint Hansen authored at least 37 papers
between 2016 and 2026.
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Bibliography
2026
Explainable Artificial Intelligence for Identifying an Optimal IMU Sensor Configuration for Automated Mobility Assessment in Older Adults.
Proceedings of the 12th International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2026
2025
ActiTect: A Generalizable Machine Learning Pipeline for REM Sleep Behavior Disorder Screening through Standardized Actigraphy.
CoRR, November, 2025
Association of real life postural transitions kinematics with fatigue in neurodegenerative and immune diseases.
npj Digit. Medicine, 2025
2024
Current Knowledge about ActiGraph GT9X Link Activity Monitor Accuracy and Validity in Measuring Steps and Energy Expenditure: A Systematic Review.
Sensors, February, 2024
KielMAT: Kiel Motion Analysis Toolbox - An Open-Source Python Toolbox for Analyzing Neurological Motion Data from Various Recording Modalities.
J. Open Source Softw., 2024
Pre-Processing Inertial Measurement Unit-based Data for Process Mining using Convolutional Neural Networks.
Proceedings of the 19th International Conference on Wirtschaftsinformatik (WI 2024), 2024
Proof of Principle: Full 6D Point-to-Point Motion Tracking with Magnetoelectric Sensors.
Proceedings of the 2024 IEEE SENSORS, Kobe, Japan, October 20-23, 2024, 2024
2023
Four Days Are Enough to Provide a Reliable Daily Step Count in Mild to Moderate Parkinson's Disease through a Commercial Smartwatch.
Sensors, November, 2023
A robust walking detection algorithm using a single foot-worn inertial sensor: validation in real-life settings.
Medical Biol. Eng. Comput., September, 2023
Pilot Study: Magnetic Motion Analysis for Swallowing Detection Using MEMS Cantilever Actuators.
Sensors, April, 2023
Step-Counting Accuracy of a Commercial Smartwatch in Mild-to-Moderate PD Patients and Effect of Spatiotemporal Gait Parameters, Laterality of Symptoms, Pharmacological State, and Clinical Variables.
Sensors, 2023
2022
A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts.
Sensors, 2022
Scoring the Sit-to-Stand Performance of Parkinson's Patients with a Single Wearable Sensor.
Sensors, 2022
Sensors, 2022
Objective Measurement of Walking Activity Using Wearable Technologies in People with Parkinson Disease: A Systematic Review.
Sensors, 2022
Full-Body Mobility Data to Validate Inertial Measurement Unit Algorithms in Healthy and Neurological Cohorts.
Data, 2022
2021
Proposed Mobility Assessments with Simultaneous Full-Body Inertial Measurement Units and Optical Motion Capture in Healthy Adults and Neurological Patients for Future Validation Studies: Study Protocol.
Sensors, 2021
A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems.
Sensors, 2021
Active Magnetoelectric Motion Sensing: Examining Performance Metrics with an Experimental Setup.
Sensors, 2021
Comparison of Laboratory and Daily-Life Gait Speed Assessment during ON and OFF States in Parkinson's Disease.
Sensors, 2021
Walking on common ground: a cross-disciplinary scoping review on the clinical utility of digital mobility outcomes.
npj Digit. Medicine, 2021
2020
Classification of Neurological Patients to Identify Fallers Based on Spatial-Temporal Gait Characteristics Measured by a Wearable Device.
Sensors, 2020
Quantification of Arm Swing during Walking in Healthy Adults and Parkinson's Disease Patients: Wearable Sensor-Based Algorithm Development and Validation.
Sensors, 2020
Gait Analysis with Wearables Can Accurately Classify Fallers from Non-Fallers: A Step toward Better Management of Neurological Disorders.
Sensors, 2020
A Complementary Filter Design on SE(3) to Identify Micro-Motions during 3D Motion Tracking.
Sensors, 2020
Effect of a Concurrent Cognitive Task, with Stabilizing Visual Information and Withdrawal, on Body Sway Adaptation of Parkinsonian's Patients in an Off-Medication State: A Controlled Study.
Sensors, 2020
2019
Subject specific hand and forearm musculoskeletal 3D geometries using high-resolution MR images.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2019
2017
Proceedings of the 2017 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, 2017
2016
Applied a Multi-scale Entropy Algorithm to Analyze Dynamic COP Signal via Accelerometer Sensor.
Proceedings of the 2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, 2016
Instrumentation of a hand-held power tool for capturing dynamic interaction during finishing tasks.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016