Publications by Camilo Hernandez Mejia

Deep Learning for Localized-Haptic Feedback in Tactile Surfaces

Touchscreens are nowadays the preferred choice for user interfaces in consumer electronics. Significant technological advances have been made in terms of touch sensing and visual quality. However, the haptic feedback offered by commercial products is still ...

EPFL2023

Generative Adversarial Networks for Localized Vibrotactile Feedback in Haptic Surfaces

Paolo Germano, Yves Perriard, Jonathan André Jean-Marie Chavanne, Adrien Jean-Michel Thabuis, Camilo Hernandez Mejia, Xiaotao Ren

Touch-screens are the most relevant interface in the context of human-computer interaction. Moreover, they are widely used as interaction means for digital musical instruments, where a complex action-perception loop is involved in the user experience. This ...

IEEE2021

Reinforcement Learning and Hardware in the Loop for Localized Vibrotactile Feedback in Haptic Surfaces

Paolo Germano, Yves Perriard, Camilo Hernandez Mejia, Xiaotao Ren, Marc Michel Charles Favier

Touch is commonly used to mediate human-machine interactions, notably in the setting of Digital Musical Instruments (DMIs), where touch screens are prevalent. The lack of rich haptic feedback has an impact on the richness and quality of the interaction. Pi ...

IEEE2021

Effect of the Impact Contact Duration on Machine Learning Models for Impact Position Detection

Paolo Germano, Yves Perriard, Jonathan André Jean-Marie Chavanne, Camilo Hernandez Mejia

Touch-screens have become the most common way of interaction between humans and machines. Nevertheless, the lack of rich haptic-feedback on most of the devices limits the quality and effectivity of the interaction. To develop novel haptic feedback generati ...

2020

Artificial Neural Networks for Impact Position Detection in Haptic Surfaces

Paolo Germano, Yves Perriard, Camilo Hernandez Mejia

Recently, the interest in haptic feedback is growing thanks to its ability to enhance the interaction with Human Machine Interfaces (HMIs). This research project is exploring the potential of machine learning combined with piezoelectric actuators to genera ...

IEEE2019

Linear Impact Generator for Automated Dataset Acquisition of Elastic Waves in Haptic Surfaces

Paolo Germano, Yves Perriard, Adrien Jean-Michel Thabuis, Camilo Hernandez Mejia

Tactile surfaces are commonly found on a big number of devices nowadays. Generally, this kind of interfaces lacks haptic feedback, which lowers the efficiency and perceived quality of human interaction. Time reversal of elastic waves has been studied and i ...

IEEE2019