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UCO physical rehabilitation: new dataset and study of human pose estimation methods on physical rehabilitation exercises
(MDPI, 2023)
Physical rehabilitation plays a crucial role in restoring motor function following injuries or surgeries. However, the challenge of overcrowded waiting lists often hampers doctors’ ability to monitor patients’ recovery ...
Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources
(Springer, 2021)
The aim of this study was to predict university students’ learning performance using different sources of performance and multimodal data from an Intelligent Tutoring System. We collected and preprocessed data from 40 ...
A new approach for optimal time-series segmentation
(Elsevier, 2020)
This paper proposes a new optimal approach, called OSTS, to improve the segmentation of time series. The proposed method is based on A* algorithm and it uses an improved version of the well-known Salotti method for obtaining ...
Optimal online time-series segmentation
(Springer, 2024)
When time series are processed, the difficulty increases with the size of the series. This fact is aggravated when time series are processed online, since their size increases indefinitely. Therefore, reducing their number ...
Local-based k values for multi-label k-nearest neighbors rule
(Elsevier, 2022)
Multi-label learning is a growing field in machine learning research. Many applications address instances that simultaneously belong to many categories, which cannot be disregarded if optimal results are desired. Among the ...
ReSLAM: Reusable SLAM with heterogeneous cameras
(Elsevier, 2024)
State-of-the-art SLAM methods are designed to work only with the type of camera employed to create the map, and little attention has been paid to the reusability of the maps created. In other words, the maps generated by ...
Semantic segmentation of 3D car parts using UAV-based images
(Elsevier, 2022)
Environment understanding in real-world scenarios has gained an increased interest in research and industry. The advances in data capture and processing allow a high-detailed reconstruction from a set of multi-view images ...
AttenGait: Gait recognition with attention and rich modalities
(Elsevier, 2024)
Current gait recognition systems employ different types of manual attention mechanisms, like horizontal cropping of the input data to guide the training process and extract useful gait signatures for people identification. ...
A new approach for optimal offline time-series segmentation with error bound guarantee
(Elsevier, 2021)
This paper proposes a new optimal approach, called OSFS, based on feasible space (FS) Liu et al. (2008)[, that minimizes the number of segments of the approximation and guarantees the error bound using the L∞-norm. On the ...
Assessing polygonal approximations: A new measurement and a comparative study
(Elsevier, 2023)
Two proposals related to the evaluation of polygonal approximations are presented in this document. First, a new measurement, called normalized compression ratio and adjustment error (NCA), to provide a fair evaluation of ...