557 citations · 895 across the 11 of their papers we have counts for
12 papers
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…
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…
Paving the Way Towards Kinematic Assessment Using Monocular Video: A Preclinical Benchmark of State-of-the-Art Deep-Learning-Based 3D Human Pose Estimators Against Inertial Sensors in Daily Living Activities
Mario Medrano-Paredes, Carmen Fernández-González, Francisco-Javier Díaz-Pernas +3
Advances in machine learning and wearable sensors offer new opportunities for capturing and analyzing human movement outside specialized laboratories. Accurate assessment of human…
Custom IMU-Based Wearable System for Robust 2.4 GHz Wireless Human Body Parts Orientation Tracking and 3D Movement Visualization on an Avatar
Javier González-Alonso, David Oviedo-Pastor, Héctor J. Aguado +3
Recent studies confirm the applicability of Inertial Measurement Unit (IMU)-based systems for human motion analysis. Notwithstanding, high-end IMU-based commercial solutions are ye…
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…
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…
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…
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…
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…
IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks
Patricia Wollstadt, Joseph T. Lizier, Raul Vicente +5
The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using…
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…
Efficient transfer entropy analysis of non-stationary neural time series
Patricia Wollstadt, Mario Martínez-Zarzuela, Raul Vicente +2
Information theory allows us to investigate information processing in neural systems in terms of information transfer, storage and modification. Especially the measure of informati…