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COGNITIVE PROFILE IN PD
- Alonso-Recio, Laura
The Project was designed to analyze the cognitive heterogeneity in PD patients using a novel data driven approach, the Latent Profile Analysis (LPA), to classify patients according to cognitive characteristics.
This dataset include information about general and specific cognitive perfomance in 71 PD patients without dementia. The neuropsychological battery included different memory and executive function tests. Memory was assessed both for semantic and episodic capabilities. Semantic memory was assessed with a Semantic fluency task (SF; Benton and Hamsher, 1978) and the Boston Naming Test (BNT; Kaplan and Weintraub, 1983). Episodic memory was assessed both with verbal and visuospatial material. Verbal episodic memory was assessed using the Spain-Complutense Verbal Learning Test (Test de Aprendizaje Verbal España-Complutense, TAVEC; Benedet and Alexandre, 1998), and visuospatial episodic memory was assessed using the 7/24 Spatial Recall Test (7/24 SRT; Rao, Hammeke, McQuillen, Khatri, and Lloyd, 1984). Executive function was assessed using the Phonemic Fluency Task (PF; Benton and Hamsher, 1978), the Backward Digit Span of the WAIS-III (BDS; Weschler, 2001) and the Trail Making Test (TMT; Reynolds, 2002). They were selected following the recommendation for neuropsychological evaluation of PD made by the Movement Disorder Society Task Force Guidelines (Litvan et al., 2012).
INFORMANTE 1 Y 2 (SETADOS). LA VIDA DE ANTES. PARENTESCO Y PARTES DEL CUERPO
- Álvarez Pérez, Xosé Afonso (coord.)
FEDERICO-TENA WORLD POPULATION HISTORICAL DATABASE : FRENCH INDIA
- Federico, Giovanni
- Tena Junguito, Antonio
MULTI-VIEW LEAP2 HAND POSE DATASET
- Gil Martín, Manuel
- Marini, Marco Raoul
- San Segundo Hernández, Rubén
- Cinque, Luigi
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DESCRIPTION
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1. Dataset description
Multi-view Leap2 Hand Pose Dataset (ML2HP Dataset) is a new dataset for hand pose recognition, captured using a multi-view recording setup with two Leap Motion Controller 2 devices. This dataset encompasses a diverse range of hand poses, recorded from different angles to ensure comprehensive coverage. The dataset includes real images with the associated precise and automatic hand properties, such as landmark coordinates, velocities, orientations, and finger widths. This dataset has been meticulously designed and curated to maintain a balance in terms of subjects, hand poses, and the usage of right or left hand, ensuring fairness and parity. The content includes 714,000 instances of 17 different hand poses (including real images and 247 associated hand properties). These examples have been recorded from 21 subjects. The multi-view setup is necessary to mitigate hand occlusion phenomena, ensuring continuous tracking and pose estimation required in real human-computer interaction applications like virtual reality gaming. Overall, this dataset contributes to advancing the field of multimodal hand pose recognition by providing researchers with a valuable resource for developing advanced human computer interfaces based on machine learning algorithms.
2. Dataset content
The ML2HP Dataset is meticulously organized into a hierarchical file structure to facilitate easy access and retrieval of specific instances for analysis. At the top level, there is a folder for each subject, identified by integer numbers (e.g., “001”, “002”). Within each subject folder, there are subfolders representing the hand used, designated as “Right_Hand” and “Left_hand”. Inside each hand folder, further subfolders are categorized by hand pose class, named according to the specific hand pose (e.g., “OpenPalm”, “ClosedFist”, etc). Each pose class folder contains two additional subfolders corresponding to the recording devices: “Horizontal” for the camera placed horizontally and “Vertical” for the camera placed vertically. In addition, at the top level, there is a “subjects_info.csv” file that includes the information of age and gender for each subject identifier.
- The subjects_info.csv file contains information of age and gender for each subject identifier.
- Each hand_properties.csv contains the 247 hand properties (such as landmark coordinates, velocities, orientations, and finger widths) from a specific subject, hand, pose and device.
- Each .bmp contains an image from a specific subject, hand, pose and device.
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METHODOLOGY
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1. Methodology and data acquisition protocol
Before recording the data, each participant received detailed information about the data collection protocol and voluntarily provided informed consent, including their agreement to have the data published, by signing a consent form prior to their inclusion in the research study. During the data collection process, participants were instructed to perform various hand poses while facing either one of the cameras, the other camera, or positioned diagonally between both. Additionally, participants were prompted to move their hands through the entire view range of the cameras, ensuring comprehensive coverage of hand poses from different angles, perspectives, and distances. This approach enabled the capture of a diverse range of hand configuration instances.
Participants were asked to perform each hand pose repeatedly until enough instances were recorded for each class and hand (right and left). The protocol involved initially recording instances of right-hand poses from all classes, repeating the process for left-hand poses. This systematic approach ensured comprehensive coverage of both right- and left-hand configurations across all classes, facilitating a balanced and representative dataset.
A data curation process was performed after the data collection to synchronize and balance the available data.
COMPREV(P)CANCER BASE DATOS DEL EXPERIMENTO DE EFECTIVIDAD DE CAMPAÑA DE COMUNICACIÓN ESTRATÉGICA EN CÁNCER DE PIEL CON JÓVENES UNIVERSITARIOS DE COMPREVEN(P)CANCER
- Strategic Health Communication, GEAC
TETHER PERFORMANCE IN INNOVATIVE APPLICATIONS
- Simón Aznar, Jorge
- Vatankhahghadim, Behrad
- SANCHEZ, GONZALO
ABSELL-FEDERICO-TENA WORLD TRADE HISTORICAL DATABASE 1948-2020 : TAJIKISTAN
- Absell, Christopher
- Federico, Giovanni
- Tena Junguito, Antonio
FEDERICO-TENA WORLD TRADE HISTORICAL DATABASE : GERMAN EAST AFRICA (TANGANYIKA)
- Federico, Giovanni
- Tena Junguito, Antonio
ROSA MÉNDEZ, MARINA PIÑERO E INMACULADA FRADE (VALVERDI DU FRESNU / VALVERDE DEL FRESNO). RELACIONES CON PORTUGAL
- Álvarez Pérez, Xosé Afonso (coord.)
CARRYING GAS INFLUENCE AND FABRICATION PARAMETERS IMPACT IN 3D MANUFACTURING OF IN SITU TIN‑TI COMPOSITES BY DIRECT LASER DEPOSITION
- SANCHEZ DE ROJAS CANDELA, CARMEN
- Ainhoa Riquelme
- Rodrigo Herrero, Pilar
- Rams, Joaquin