WebJun 30, 2024 · Gait analysis provides a huge amount of data. Their interpretation is challenging and there is a great deal of interest in supporting medical decision-making processes with machine learning methods. WebJan 27, 2024 · Cervical spondylotic myelopathy (CSM) is the main cause of cervical spinal cord dysfunction in adults, especially in middle-aged and elderly patients, which easily leads to gait disturbance. In the present study, we propose a dynamic method for the detection of CSM based on nonlinear dynamics of gait system and deterministic learning theory. …
Gait classification for early detection and severity …
WebMar 23, 2024 · Abstract. Walking gait data acquired with force platforms may be used for person re-identification (re-ID) in various authentication, surveillance, and forensics applications. Current force platform-based re-ID systems classify a fixed set of identities (IDs), which presents a problem when IDs are added or removed from the database. WebThis paper presents an elaborated schema, including gait analysis history, parameters, machine learning approaches for marker-based and marker-less analysis, applications, and performance measures. This paper also explores the pose estimation techniques for clinical gait analysis that open future research directions in this area. methods of linearity improvement
Explaining the unique nature of individual gait patterns with deep …
WebJul 22, 2024 · Human Activity Recognition (HAR) that includes gait analysis may be useful for various rehabilitation and telemonitoring applications. Current gait analysis methods, such as wearables or cameras, have privacy and operational constraints, especially when used with older adults. Millimeter-Wave (MMW) radar is a promising solution for gait … WebLiterature suggests that anxiety affects gait and balance among young adults. However, previous studies using machine learning (ML) have only used gait to identify individuals who report feeling anxious. Therefore, the purpose of this study was to identify individuals who report feeling anxious at that time using a combination of gait and quiet balance ML. … WebMar 17, 2024 · This paper aims to enhance the accuracy of human gait prediction using machine learning algorithms. Three classifiers are used in this paper: XGBoost, Random Forest, and SVM. ... Human gait analysis based on decision tree, random forest and KNN algorithms. Adv Intell Syst Comput 2024; 1155: 283. Google Scholar. 14. Ng, YL, Jiang, … how to add more stl models to the build plate