Lisa Klingelhöfer
Orcid: 0000-0003-2037-6518
According to our database1,
Lisa Klingelhöfer
authored at least 13 papers
between 2016 and 2024.
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Bibliography
2024
Can bite detection algorithms substitute manual video annotations in elderly people with and without Parkinson's disease? An experimental study.
Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments, 2024
2022
IEEE Trans. Biomed. Eng., 2022
2020
Detecting Parkinsonian Tremor From IMU Data Collected in-the-Wild Using Deep Multiple-Instance Learning.
IEEE J. Biomed. Health Informatics, 2020
Innovative Parkinson's Disease Patients' Motor Skills Assessment: The i-PROGNOSIS Paradigm.
Frontiers Comput. Sci., 2020
Innovative interventions for Parkinson's disease patients using iPrognosis games: an evaluation analysis by medical experts.
Proceedings of the PETRA '20: The 13th PErvasive Technologies Related to Assistive Environments Conference, Corfu, Greece, June 30, 2020
Motion Analysis on Depth Camera Data to Quantify Parkinson's Disease Patients' Motor Status Within the Framework of I-Prognosis Personalized Game Suite.
Proceedings of the IEEE International Conference on Image Processing, 2020
Using IMU Sensors to Assess Motor Degradation of PD Patients by Modeling In-meal Plate-to-Mouth Movement Elongation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
Smartwatch-based Activity Analysis During Sleep for Early Parkinson's Disease Detection.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Early Parkinson's Disease Detection via Touchscreen Typing Analysis using Convolutional Neural Networks.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2018
Motor Impairment Estimates via Touchscreen Typing Dynamics Toward Parkinson's Disease Detection From Data Harvested In-the-Wild.
Frontiers ICT, 2018
On Exploring Design Elements in Assistive Serious Games for Parkinson's Disease Patients: The i-PROGNOSIS Exergames Paradigm.
Proceedings of the 2nd International Conference on Technology and Innovation in Sports, 2018
2016
Active and healthy ageing for Parkinson's disease patients' support: A user's perspective within the i-PROGNOSIS framework.
Proceedings of the 1st International Conference on Technology and Innovation in Sports, 2016