[PDF][PDF] Multi-Stroke handwriting character recognition based on sEMG using convolutional-recurrent neural networks

JG Beltrán Hernández, J Ruiz Pinales… - … ENGINEERING, 17 (5 …, 2020 - aimspress.com
Despite the increasing use of technology, handwriting has remained to date as an efficient
means of communication. Certainly, handwriting is a critical motor skill for childrens …

Handwritten signatures verification based on arm and hand muscles synergy

A Asemi, K Maghooli, FN Rahatabad… - … Signal Processing and …, 2022 - Elsevier
Intra-personal variability, which measures the difference between people's signatures, may
be affected by various signing challenges. Considering the variety of physical conditions, it …

Surface EMG-based sketching recognition using two analysis windows and gene expression programming

Z Yang, Y Chen - Frontiers in neuroscience, 2016 - frontiersin.org
Sketching is one of the most important processes in the conceptual stage of design.
Previous studies have relied largely on the analyses of sketching process and outcomes; …

Multi-model approach to characterize human handwriting motion

I Chihi, A Abdelkrim, M Benrejeb - Biological cybernetics, 2016 - Springer
This paper deals with characterization and modelling of human handwriting motion from two
forearm muscle activity signals, called electromyography signals (EMG). In this work, an …

Assessment of Kinematic and Kinetic Attributes of Graphic Execution of Children with Autism and Typically Developing Children using a Digitized Platform

P Verma, N Patel, P Sharma… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Intact graphic execution ability is considered an important gateway to one's academic
success. It is often reported that the graphic execution ability of neurotypical children and …

Adaptive control design for human handwriting process based on electromyography signals

I Mahmoud, I Chihi, A Abdelkrim - Complexity, 2020 - Wiley Online Library
The most used control approaches of hand prosthesis are based on the forearm muscle
activities, named ElectroMyoGraphy signal (EMG). In this sense, researchers modeled the …

Online fault detection approach of unpredictable inputs: Application to handwriting system

I Chihi, M Benrejeb - Complexity, 2018 - Wiley Online Library
Many investigators are interested in improving the control strategies of hand prosthesis to
make it functional and more convenient to use. The most used control approach is based on …

How good is your drawing? quantifying graphomotor skill using a portable platform

D Rane, P Verma, U Lahiri - International Conference on Human …, 2022 - Springer
Graphomotor skill essential for completing various academic activities such as drawing of
shapes or handwriting of text is conventionally judged based on observation in terms of …

semg-based drawing trace reconstruction: A novel hybrid algorithm fusing gene expression programming into kalman filter

Z Yang, Y Wen, Y Chen - Sensors, 2018 - mdpi.com
How to reconstruct drawing and handwriting traces from surface electromyography (sEMG)
signals accurately has attracted a number of researchers recently. An effective algorithm is …

[PDF][PDF] Internal model control to characterize human handwriting motion.

I Chihi, A Abdelkrim, M Benrejeb - Int. Arab J. Inf. Technol., 2017 - iajit.org
The main purpose of this paper is to consider the human handwriting process as an Internal
Model Control structure (IMC). The proposed approach allows characterizing the biological …