activity
20142026
most citedA Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network

557 citations · 621 across the 8 of their papers we have counts for

collaborators

8 papers

eess.SP2026★ 10 cited

Development of an end-to-end hardware and software pipeline for affordable and feasible ergonomics assessment in the automotive industry

Javier González-Alonso, Cristina Simón-Martínez, Míriam Antón-Rodríguez +3

An end-to-end hardware-software pipeline is introduced to automatize ergonomics assessment in industrial workplaces. The proposed modular solution can interoperate with commercial…

eess.SP2026★ 11 cited

ME-WARD: A multimodal ergonomic analysis tool for musculoskeletal risk assessment from inertial and video data in working plac

Javier González-Alonso, Paula Martín-Tapia, David González-Ortega +3

This study presents ME-WARD (Multimodal Ergonomic Workplace Assessment and Risk from Data), a novel system for ergonomic assessment and musculoskeletal risk evaluation that impleme…

cs.HC2024★ 17 cited

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

David González-Ortega, Francisco Javier Díaz-Pernas, Mario Martínez-Zarzuela +1

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. T…

eess.IV2024★ 557 cited

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

Francisco Javier Díaz-Pernas, Mario Martínez-Zarzuela, Míriam Antón-Rodríguez +1

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…

cs.CV2024

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

Mario Martínez-Zarzuela, David González-Ortega, Míriam Antón-Rodríguez +3

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 acti…

cs.CV2024★ 15 cited

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

David González-Ortega, Francisco Javier Díaz-Perna, Mario Martínez-Zarzuela +1

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 th…

cs.CV2023★ 11 cited

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

Mario Martínez-Zarzuela, Javier González-Alonso, Míriam Antón-Rodríguez +3

Human activity recognition and clinical biomechanics are challenging problems in physical telerehabilitation medicine. However, most publicly available datasets on human body movem…

cs.CV2014

Indoor 3D Video Monitoring Using Multiple Kinect Depth-Cameras

M. Martínez-Zarzuela, M. Pedraza-Hueso, F. J. Díaz-Pernas +2

This article describes the design and development of a system for remote indoor 3D monitoring using an undetermined number of Microsoft(R) Kinect sensors. In the proposed client-se…