Browse > Article
http://dx.doi.org/10.7236/IJIBC.2021.13.2.260

Comparison of dominant and nondominant handwriting with the signal of a three-axial accelerometer  

Kim, Tae-Hoon (Department of Occupational Therapy, Dongseo University)
Publication Information
International Journal of Internet, Broadcasting and Communication / v.13, no.2, 2021 , pp. 260-266 More about this Journal
Abstract
Handwriting using the dominant and nondominant arms was analyzed in 52 young adults with the aid of a three-axial accelerometer. We measured a signal vector magnitude (SVM) and the percentage of the total signal vector magnitude (%TSVM) for the metacarpophalangeal joint (MCP), radial styloid process (RSP), and lateral epicondyle (LE) of both arms. The SVM for the MCP was lower in the dominant arm than the nondominant arm, whereas that for the RSP was higher. %TVSM was lower for the MCP than for the RSP and LE in the nondominant arm, but higher for the MCP than for the LE in the nondominant arm. These findings suggest that controlling the MCP will improve the quality of handwriting, including when using the nondominant arm.
Keywords
accelerometry; signal vector magnitude; handwriting; dominant arm;
Citations & Related Records
연도 인용수 순위
  • Reference
1 K. M. Farris, R. E. Fehrenbacher, E. L. Hayes, R. R. McEvoy, A. P. Smith, and R. S. McCulloch, The relationship between muscle activation and handwriting quality with non-native grip styles, Journal of Hand Therapy, Vol. 43, No. 1, pp. 1-34, Mar 2021. DOI: https://doi.org/10.1016/j.jht.2021.03.004   DOI
2 A. R. E. Potgieser and B. M. de Jong, Different distal-proximal movement balances in right-and left-hand writing may hint at differential premotor cortex involvement, Human Movement Science, Vol. 30, No. 6, pp. 1072-1078, Dec 2011. DOI: https://doi.org/10.1016/j.humov.2011.02.005   DOI
3 M. Demers and M. F. Levin, Kinematic validity of reaching in a 2D virtual environment for arm rehabilitation after stroke, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 28, No. 3, pp. 679-686, Mar 2020. DOI: https://doi.org/10.1109/TNSRE.2020.2971862   DOI
4 A. Narayanan, F. Desai, T. Stewart, S. Duncan, and L. Mackay, Application of raw accelerometer data and machinelearning techniques to characterize human movement behavior: a systematic scoping review, Vol. 17, No. 3, pp. 360-383, Mar 2020. DOI: https://doi.org/10.1123/jpah.2019-0088   DOI
5 E. Hamhuis, C. Glas, and M. Meelissen, Tablet assessment in primary education: Are there performance differences between TIMSS' paper-and-pencil test and tablet test among Dutch grade-four students?, British Journal of Educational Technology, Vol. 51, No. 6, pp. 2340-2358, Feb 2020. DOI: https://doi.org/10.1111/bjet.12914   DOI
6 H. U. Nam et al, Effect of Dominant Hand Paralysis on Quality of Life in Patients with Subacute Stroke, Annals of Rehabilitation Medicine, Vol. 38, No. 4, pp. 450-457, Aug 2014. DOI: https://doi.org/10.5535/arm.2014.38.4.450   DOI
7 D. Y. Kim, I. H. Hwang, S. H. Jeon, Y. H. Bae, and N. H. Kim, Estimating algorithm of physical activity energy expenditure and physical activity intensity using a tri-axial accelerometer, Rehabilitation Engineering and Assistive Technology Society of Korea, Vol. 5, No. 1, pp. 27-33, Dec 2011.
8 P. Pan, M. A. Peshkin, J. E. Colgate, and K. M. Lynch, Static single-arm force generation with kinematic constraints, Journal of Neurophysiology, Vol. 93, No. 5, pp. 2752-2765, May 2005. DOI: 10.1152/jn.00799.2004   DOI
9 K. Feder, A. Majnemer, and A. Synnes, Handwriting: Current Trends in Occupational Therapy Practice, Canadian Journal of Occupational Therapy, Vol. 67, No. 3, pp. 197-204, Jun 2000. DOI: https://doi.org/10.1177/000841740006700313   DOI
10 S. R. Min, Y. J. Jung, T. H. Yoon, N. H. Jung, and T. H. Kim, Comparison of Muscle Activity Between Handwriting and Touchscreen Use in Younger Adults and the Elderly, The Korea Contents Association, Vol.16, No. 1, pp. 57-64, Mar 2020. DOI: https://doi.org/10.5392/IJoC.2020.16.1.057   DOI
11 A. Peljovich, Hand Reconstruction in Children with Spinal Cord Injury, Physical Medicine and Rehabilitaion Clinics of North America, Vol. 31, No. 3, pp. 471-498, Aug 2020. DOI: https://doi.org/10.1016/j.pmr.2020.04.008   DOI
12 G. Wu et al, ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion-Part II: shoulder, elbow, wrist and hand, Journal of Biomechanics, Vol. 38, No. 5, pp. 981-992, May 2005. DOI: https://doi.org/10.1016/j.jbiomech.2004.05.042   DOI
13 K. B. Lynch, and M. J. Bridle, Validity of the Jebsen-Taylor Hand Function Test in predicting activities of daily living, The Occupational Therapy Journal of Research, Vol. 9, No. 5, pp. 316-318, Sep 1989. DOI: https://doi.org/10.1177/153944928900900505   DOI
14 M. Domalain, P. J. Evans, W. H. Seitz Jr, and Z. M. Li, Influence of Index Finger Proximal Interphalangeal Joint Arthrodesis on Precision Pinch Kinematics, The Journal of Hand Surgery, Vol. 36, No. 12, pp. 1944-1949, Dec 2011. DOI: https://doi.org/10.1016/j.jhsa.2011.09.010   DOI
15 X. Li, W. He, C. Li, Y. C. Wang, B. A. Slavens, and P. Zhou, Motor unit number index examination in dominant and non-dominant hand muscles, Laterality, Vol. 20, No. 6, pp. 699-710, Jul 2015. DOI: https://doi.org/10.1080/1357650X.2015.1041971   DOI
16 R. Plamondon, A kinematic theory of rapid human movements, Biological cybernetics, Vol. 72, No. 4, pp. 295-307, Mar 1995. DOI: https://doi.org/10.1007/BF00202785   DOI
17 C. E. Lang, K. J. Waddell, J. W. Klaesner, and M. D. Bland, A method for quantifying upper limb performance in daily life using accelerometers, Journal of Visualized Experiments, Vol. 122, pp. 1-8, Apr 2017. DOI: https://doi.org/10.3791/55673   DOI
18 A. Buniya, A. H. Al-Timemy, A. Aldoori, and R. N. Khushaba, Analysis of Different Hand and Finger Grip Patterns using Surface Electromyography and Hand Dynamometry, Al-Khwarizmi Engineering Journal, Vol. 16, No. 2, pp. 14-23, Jun 2020. DOI: https://doi.org/10.22153/kej.2020.05.001   DOI
19 M. Abazid, N. Houmani, and S. Garcia-Salicetti, Enhancing Security on Touch-Screen Sensors with Augmented Handwritten Signatures, Sensors, Vol. 20, No. 3, pp. 933-953, Feb 2020. DOI: https://doi.org/10.3390/s20030933   DOI