Literature DB >> 23743090

An optoelectronic based approach for handwriting capture.

Andrea Ancillao1, Manuela Galli, Sara Laura Vimercati, Giorgio Albertini.   

Abstract

Clinical practice for the evaluation of motor and cognitive capabilities often relies upon writing and drawing tests. A non-invasive method to capture handwriting and analyze data is therefore needed. In this work a method to capture motion of a pen through a mo-cap optoelectronic system was developed, which could solve the limits of systems based on graphic tablets. Four IR passive markers were placed on a pen cap. Once a pen was equipped with the cap, track of tip was computed through a numeric algorithm using the 3D coordinates of markers provided by the optoelectronic system. Some tests were performed to estimate the error in track reconstruction and to compare the new protocol with previous reconstruction methods. The results showed a higher accuracy of the new method. The new protocol also overcomes the problems related to pen grasping and marker covering that affected other methods described in the literature and permits the evaluation of writing and drawing kinematics as well as postural behaviour related to them.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Drawing; Handwriting; Motion capture; Optoelectronic system

Mesh:

Year:  2013        PMID: 23743090     DOI: 10.1016/j.cmpb.2013.05.002

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  3 in total

1.  Development of a bio-inspired mechatronic chest wall simulator for evaluating the performances of opto-electronic plethysmography.

Authors:  Massaroni C; Schena E; Bastianini F; Scorza A; Saccomandi P; Lupi G; Botta F; Sciuto S A; Silvestri S
Journal:  Open Biomed Eng J       Date:  2014-12-19

2.  Stride and Step Length Obtained with Inertial Measurement Units during Maximal Sprint Acceleration.

Authors:  Cornelis J de Ruiter; Jaap H van Dieën
Journal:  Sports (Basel)       Date:  2019-08-31

3.  Estimating the Instantaneous Screw Axis and the Screw Axis Invariant Descriptor of Motion by Means of Inertial Sensors: An Experimental Study with a Mechanical Hinge Joint and Comparison to the Optoelectronic System.

Authors:  Andrea Ancillao; Maxim Vochten; Erwin Aertbeliën; Wilm Decré; Joris De Schutter
Journal:  Sensors (Basel)       Date:  2019-12-20       Impact factor: 3.576

  3 in total

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