Jens Barth
Orcid: 0000-0003-3967-9578
According to our database1,
Jens Barth
authored at least 22 papers
between 2011 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024
2023
Towards the on-device Handwriting Trajectory Reconstruction of the Sensor Enhanced Pen.
Proceedings of the 9th IEEE World Forum on Internet of Things, 2023
Proceedings of the 26th Euromicro Conference on Digital System Design, 2023
2022
Surface-Free Multi-Stroke Trajectory Reconstruction and Word Recognition Using an IMU-Enhanced Digital Pen.
Sensors, 2022
Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens.
Int. J. Document Anal. Recognit., 2022
2021
Proceedings of the 16th International Conference on Document Analysis and Recognition, 2021
2020
The OnHW Dataset: Online Handwriting Recognition from IMU-Enhanced Ballpoint Pens with Machine Learning.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020
Proceedings of the 17th International Conference on Frontiers in Handwriting Recognition, 2020
2018
IEEE J. Biomed. Health Informatics, 2018
2017
Development and Validation of a Mobile Gait Analysis System Providing Clinically Relevant Target Parameters in Parkinson's Disease.
PhD thesis, 2017
Using Wearable Inertial Sensors to Compare Different Versions of the Dual Task Paradigm during Walking.
Proceedings of the European Conference on Cognitive Ergonomics, 2017
2016
Inertial sensor based gait analysis discriminates subjects with and without visual impairment caused by simulated macular degeneration.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016
2015
Inertial Sensor-Based Stride Parameter Calculation From Gait Sequences in Geriatric Patients.
IEEE Trans. Biomed. Eng., 2015
Stride Segmentation during Free Walk Movements Using Multi-Dimensional Subsequence Dynamic Time Warping on Inertial Sensor Data.
Sensors, 2015
Timed Up-and-Go phase segmentation in Parkinson's disease patients using unobtrusive inertial sensors.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Pull test estimation in Parkinson's disease patients using wearable sensor technology.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Inertial sensor based and shoe size independent gait analysis including heel and toe clearance estimation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
Subsequence dynamic time warping as a method for robust step segmentation using gyroscope signals of daily life activities.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
Combined analysis of sensor data from hand and gait motor function improves automatic recognition of Parkinson's disease.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
2011
Biometric and mobile gait analysis for early diagnosis and therapy monitoring in Parkinson's disease.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011