Literature DB >> 8893319

Visual cues and the handwriting of older adults: a kinematic analysis.

M J Slavin1, J G Phillips, J L Bradshaw.   

Abstract

Kinematic techniques determined the nature of any age-related changes in the fluency of handwriting movements and also the extent to which any changes can be related to a differential utilization of visual feedback. To quantitatively document the kinematics of handwriting movements, 24 young and 24 older adults were compared by having them write simple cursive letter ls 4 times on a graphics tablet, under 4 different visual conditions (no vision, non inking pen, inking pen, and lined paper). Pen tip position was sampled at 200 Hz, from which kinematic indexes of movement efficiency and consistency were derived. Quantitative differences in movement trajectories were found in the older adults, who produced less efficient movements with a concomitant increased utilization of external visual cues. Older adults made a differential use of visual feedback to modify movement trajectories, rather than to control the effects of neural noise. Handwriting movements of older adults resembled only to a limited extent those of patients with Parkinson's disease.

Entities:  

Mesh:

Year:  1996        PMID: 8893319     DOI: 10.1037//0882-7974.11.3.521

Source DB:  PubMed          Journal:  Psychol Aging        ISSN: 0882-7974


  8 in total

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2.  Kinematics of signature writing in healthy aging.

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3.  The Influence of Audio-Visual Cueing (Traffic Light) on Dual Task Walking in Healthy Older Adults and Older Adults with Balance Impairments.

Authors:  Kitchana Kaewkaen; Phongphat Wongsamud; Jiratchaya Ngaothanyaphat; Papawarin Supawarapong; Suraphong Uthama; Worasak Ruengsirarak; Suthin Chanabun; Pratchaya Kaewkaen
Journal:  Malays J Med Sci       Date:  2018-02-28

4.  Kinematic analysis of dopaminergic effects on skilled handwriting movements in Parkinson's disease.

Authors:  O Tucha; L Mecklinger; J Thome; A Reiter; G L Alders; H Sartor; M Naumann; K W Lange
Journal:  J Neural Transm (Vienna)       Date:  2005-08-05       Impact factor: 3.850

5.  Age-related differences in functional tool-use are due to changes in movement quality and not simply motor slowing.

Authors:  Andrew Hooyman; Peiyuan Wang; Sydney Y Schaefer
Journal:  Exp Brain Res       Date:  2021-03-24       Impact factor: 2.064

6.  Handwriting Declines With Human Aging: A Machine Learning Study.

Authors:  Francesco Asci; Simone Scardapane; Alessandro Zampogna; Valentina D'Onofrio; Lucia Testa; Martina Patera; Marco Falletti; Luca Marsili; Antonio Suppa
Journal:  Front Aging Neurosci       Date:  2022-05-06       Impact factor: 5.750

7.  Age-Related Evolution Patterns in Online Handwriting.

Authors:  Gabriel Marzinotto; José C Rosales; Mounîm A El-Yacoubi; Sonia Garcia-Salicetti; Christian Kahindo; Hélène Kerhervé; Victoria Cristancho-Lacroix; Anne-Sophie Rigaud
Journal:  Comput Math Methods Med       Date:  2016-09-26       Impact factor: 2.238

8.  Spiral tracing on a touchscreen is influenced by age, hand, implement, and friction.

Authors:  Brittany D Heintz; Kevin G Keenan
Journal:  PLoS One       Date:  2018-02-01       Impact factor: 3.240

  8 in total

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