Leveraging deep feature learning for wearable sensors based handwritten character recognition

SK Singh, A Chaturvedi - Biomedical Signal Processing and Control, 2023 - Elsevier
Despite rapid advancements in technology, handwritten characters still hold significant roles
in various fields, including education, communication, biometric signature verification, and …

An efficient multi-modal sensors feature fusion approach for handwritten characters recognition using Shapley values and deep autoencoder

SK Singh, A Chaturvedi - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Handwriting is essential for the development of fine motor skills in children. Handwritten
character recognition has the potential to facilitate natural human–machine interactions …

A benchmark tetra-modal biometric score database

LR Haddada, FM Rmida, W Ouarda, IK Kallel… - … Signal Processing and …, 2024 - Elsevier
As biometric technology evolves speedily, challenges increase to implement secure and
accurate systems for personal identification and authentication as the highest target to …

The effect of individual stress on the signature verification system using muscle synergy

A Asemi, K Maghooli, FN Rahatabad… - … Signal Processing and …, 2024 - Elsevier
Biometric authentication systems, in terms of using the biometric characteristic, and because
these indicators are resistant to the passage of time, and environmental, and physical …

Analysis of Fatigue-Induced Compensatory Movements in Bicep Curls: Gaining Insights for the Deployment of Wearable Sensors

MX Chua, Y Okubo, S Peng, TN Do… - … on Medical Robotics …, 2024 - ieeexplore.ieee.org
A common challenge in Bicep Curls rehabilitation is muscle compensation, where patients
adopt alternative movement patterns when the primary muscle group cannot act due to …

Presenting a New Muscle Synergy Analysis Based Mechanism to Design a Trackable Visual Biofeedback Signal: Applicable to Arm Movement Recovery After …

SA Zendehbad, HR Kobravi, MM Khalilzadeh… - IEEE …, 2023 - ieeexplore.ieee.org
This study aimed to evaluate the effect of a novel underlining mechanism of visual
biofeedback based on muscle synergy pattern on upper extremity motor functions for …

Identifying The Arm Joint Dynamics Using Muscle Synergy Patterns and SVMD-BiGRU Hybrid Mechanism

SA Zendehbad, HR Kobravi, MM Khalilzadeh… - Frontiers in Biomedical …, 2024 - fbt.tums.ac.ir
Purpose: In this study, we propose a novel generalizable hybrid underlying mechanism m
for mapping Human Pose Estimation (HPE) data to muscle synergy patterns, which can be …

Survey of the Stability of Uniqueness of Muscle Synergy Patterns in Handwritten Signature over Time

A Asemi, FN Rahatabad, H Azadeh - Majlesi Journal of Electrical …, 2023 - oiccpress.com
Biometric characteristics of the human body can play a decisive role in the accuracy of
automatic signature verification systems due to their stability over time and resistance to …

[PDF][PDF] Mobile Handwritten Signature Verification and Identification Using PCA for RemoteAuthentication

R Kumar, S Awasthi - 2024 - scholar.archive.org
This research proposal aims to develop a system for handwritten signature veri cation and
identi cation using Principal Component Analysis (PCA) with user access via mobile …