11 citations · 21 across the 2 of their papers we have counts for
7 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-MartÃnez, MÃriam Antón-RodrÃguez +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 MartÃn-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…
A Physiological Sensor-Based Android Application Synchronized with a Driving Simulator for Driver Monitoring
David González-Ortega, Francisco Javier DÃaz-Pernas, Mario MartÃnez-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 DÃaz-Pernas, Mario MartÃnez-Zarzuela, MÃriam Antón-RodrÃguez +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 MartÃnez-Zarzuela, David González-Ortega, MÃriam Antón-RodrÃguez +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 DÃaz-Perna, Mario MartÃnez-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…