Arun-Fabian Panaite – Faculty of Mechanical and Electrical Engineering, University of Petrosani, Street Universității, no. 20, 332006, Petroșani, Romania
Monica Leba – Faculty of Mechanical and Electrical Engineering, University of Petrosani, Street Universității, no. 20, 332006, Petroșani, Romania
Keywords:
IMU;
Machine learning;
Gait tracking;
AI;
Sensor fusion;
Data fusion
DOI: https://doi.org/10.31410/ITEMA.2023.61
Abstract: AI-based uncertainty handling can be applied to multimodal data fusion for IMU (Inertial Measurement Units) sensor-based gait motion capture in tracking gait differences in patients with Alzheimer’s disease or other medical conditions. The challenge is represented by monitoring and analyzing gait patterns in patients with Alzheimer’s disease to detect changes over time and assess disease, progression, or treatment effectiveness. Machine learning models are used to enhance the accuracy of gait analysis systems, making them valuable tools in healthcare for diagnosis and rehabilitation. Thus, IMUs have evolved with multi-sensor systems, sensor fusion, and machine learning for precise gait analysis, finding applications in clinical and consumer settings. AI-based gait motion capture has advanced through deep learning and video-based methods, enabling non-invasive, markerless analysis for individual identification, and enhancing healthcare diagnostics and rehabilitation. Recurrent neural networks (RNNs) or long short-term memory networks (LSTMs), are developed and trained using historical gait data from patients with Alzheimer’s disease that also include the uncertainty estimates as input features to the models. AI-based uncertainty handling integrated into gait motion capture and analysis allows continuous monitoring of gait differences in patients with Alzheimer’s disease and other medical conditions.
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7th International Scientific Conference on Recent Advances in Information Technology, Tourism, Economics, Management and Agriculture – ITEMA 2023 – Conference Proceedings, Hybrid (Faculty of Organization and Informatics Varaždin, University of Zagreb, Croatia), October 26, 2023
ITEMA Conference Proceedings published by: Association of Economists and Managers of the Balkans – Belgrade, Serbia
ITEMA conference partners: Faculty of Economics and Business, University of Maribor, Slovenia; Faculty of Organization and Informatics, University of Zagreb, Varaždin; Faculty of Geography, University of Belgrade, Serbia; Institute of Marketing, Poznan University of Economics and Business, Poland; Faculty of Agriculture, Banat’s University of Agricultural Sciences and Veterinary Medicine ”King Michael I of Romania”, Romania
ITEMA Conference 2023 Conference Proceedings: ISBN 978-86-80194-75-2, ISSN 2683-5991, DOI: https://doi.org/10.31410/ITEMA.2023
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission.
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