Výsledky vyhledávání - "Antón RodrÍguez Á"

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A Physiological Sensor-Based Android Application Synchronized with a Driving Simulator for Driver Monitoring

Autor: González-Ortega, David, Díaz-Pernas, Francisco Javier, Martínez-Zarzuela, Mario, Antón-Rodríguez, Míriam

Publikováno v: Sensors 2019, 19, 399

In this paper, we present an Android application to control and monitor the physiological sensors from the Shimmer platform and its synchronized working with a driving simulator. The Android app can monitor drivers and their parameters can be used to

Externí odkaz: http://arxiv.org/abs/2402.07937

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Comparative Analysis of Kinect-Based and Oculus-Based Gaze Region Estimation Methods in a Driving Simulator

Autor: González-Ortega, David, Díaz-Perna, Francisco Javier, Martínez-Zarzuela, Mario, Antón-Rodríguez, Míriam

Publikováno v: Sensors 2021, 21, 26

Driver's gaze information can be crucial in driving research because of its relation to driver attention. Particularly, the inclusion of gaze data in driving simulators broadens the scope of research studies as they can relate drivers' gaze patterns

Externí odkaz: http://arxiv.org/abs/2402.05248

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A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

Autor: Díaz-Pernas, Francisco Javier, Martínez-Zarzuela, Mario, Antón-Rodríguez, Míriam, González-Ortega, David

Publikováno v: Healthcare 2021, 9, 153

In this paper, we present a fully automatic brain tumor segmentation and classification model using a Deep Convolutional Neural Network that includes a multiscale approach. One of the differences of our proposal with respect to previous works is that

Externí odkaz: http://arxiv.org/abs/2402.05975

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A comparative study on wearables and single-camera video for upper-limb out-of-thelab activity recognition with different deep learning architectures

Autor: Martínez-Zarzuela, Mario, González-Ortega, David, Antón-Rodríguez, Míriam, Díaz-Pernas, Francisco Javier, Müller, Henning, Simón-Martínez, Cristina

Publikováno v: Gait & Posture (2023) 106, p. 119-120

The use of a wide range of computer vision solutions, and more recently high-end Inertial Measurement Units (IMU) have become increasingly popular for assessing human physical activity in clinical and research settings. Nevertheless, to increase the

Externí odkaz: http://arxiv.org/abs/2402.05958

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Noise robustness of a multiparty quantum summation protocol

Autor: Otero, Antón Rodríguez, Neumann, Niels M. P., van der Schoot, Ward, Wezeman, Robert

Connecting quantum computers to a quantum network opens a wide array of new applications, such as securely performing computations on distributed data sets. Near-term quantum networks are noisy, however, and hence correctness and security of protocol

Externí odkaz: http://arxiv.org/abs/2311.15314

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Multimodal video and IMU kinematic dataset on daily life activities using affordable devices (VIDIMU)

Autor: Martínez-Zarzuela, Mario, González-Alonso, Javier, Antón-Rodríguez, Míriam, Díaz-Pernas, Francisco J., Müller, Henning, Simón-Martínez, Cristina

Publikováno v: Sci Data 10, 648 (2023)

Human activity recognition and clinical biomechanics are challenging problems in physical telerehabilitation medicine. However, most publicly available datasets on human body movements cannot be used to study both problems in an out-of-the-lab moveme

Externí odkaz: http://arxiv.org/abs/2303.16150

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