ABBASS Y.

Smart tactile sensing system has been a subject of research in many application domains such as prosthetics and robotics. Embedding signal pre-processing methods (i.e., filters) along with processing algorithms (i.e., machine learning) into miniaturized electronic units enhance the extraction of high-bandwidth information (e.g., slippage...

This paper proposes an embedded tactile sensory feedback system for the upper-limb prosthesis. The feedback system delivers tactile information extracted from tactile sensors to the user through electrocutaneous stimulation. The proposed system has been tested experimentally on three healthy subjects. Results demonstrate the correct feedback of...

This paper proposes a validation method of the fabrication technology of a screen‐printed electronic skin based on polyvinylidene fluoride‐trifluoroethylene P(VDF‐TrFE) piezoelectric polymer sensors. This required researchers to insure, through non‐direct sensor characterization, that printed sensors were working as expected. For that, we...

Embedding machine learning methods into the data decoding units may enable the extraction of complex information making the tactile sensing systems intelligent. This paper presents and compares the implementations of a convolutional neural network model for tactile data decoding on various hardware platforms. Experimental results show...

As the technology moves towards more human-like bionic limbs it is necessary to develop a feedback system that provides active touch feedback to a user of a prosthetic hand. Most of the contemporary sensory substitution methods comprise simple position and force sensors combined with few discrete stimulation units,and hence they are...

Recurrent Neural Networks (RNNs) are mainly designed to deal with sequence prediction problems and they show their effectiveness in processing data originally represented as time series. This paper investigates the time series characteristics of RNNs to classify touch modalities represented as spatio temporal 3D tensor data. Different...

Artificial tactile sensing systems have gained significant attention in recent years due to their potential to enhance human-machine interaction. Numerous initiatives have been introduced to shift the computational paradigms of these systems towards a more biologically inspired approach, by incorporating neuromorphic computing methods. Despite...