Results 231 to 240 of about 2,562,278 (292)

Community-based assisted screening for mild cognitive impairment using gait and handwriting kinematic parameters analysis. [PDF]

World J Psychiatry
Ren YX, Wu B, Lou JL, Zhu XR, Zhang C, Lang Q, Wei ZQ, Su LM, Qi HN, Wang LN.   +9 more
europepmc   +1 more source

Impaired olfaction and Parkinsonism: A "hidden gem" in the neurological literature. [PDF]

J Parkinsons Dis
Chen GV, LeWitt PA.
europepmc   +1 more source

Effects of methylphenidate on quantitative measures of motor function: a systematic review. [PDF]

Front Hum Neurosci
Riis K, Brittain AR, DadeMatthews A, Watson CL, Grabowsky AB, Neely KA.   +5 more
europepmc   +1 more source

Leveraging Digitization, Archiving and Artificial Intelligence to Re-examine Predictors of Sustained Mental Health Care Engagement in Ugandan First-Episode Psychosis Patients: A Study Protocol

Mwesiga EK, Akena D, Nakigudde J, Aujo BT, Ndigamanya RI, Nanteza A, Mark M, Kaggwa AK, Balinga S, Nanyonga A, Mutamba BB, Auma R, Kebirungi E, Lukwata H, Oyat PP, Ssembajjwe W.   +15 more
europepmc   +1 more source

Enhancing Transformer-Based Language Models for Hungarian Handwritten Text Recognition. [PDF]

F1000Res
Al-Hitawi MAS, Gyöngyössy NM.
europepmc   +1 more source

Impact of computerised visual-motor integration and visual perception training games on handwriting and visual skills in children with spastic cerebral palsy: study protocol for a randomised controlled trial. [PDF]

BMJ Open
Kazemnazhand Asl A, Dalvand H, Dadgar H, Khorrami-Nejad M, Rahsepar Fard K.   +4 more
europepmc   +1 more source

Survey of Special Educational Needs Coordinators (SENCos) awareness of handwriting policy and practice in one Welsh Local Authority

, 2011
Lawrence, Christine, Cumines, Wendy
core  

Automatic Handwriting Identification on Medieval Documents

14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007
In this paper, we evaluate the performance of text-independent writer identification methods on a handwriting dataset containing medieval English documents. Applicable identification rates are achieved by combining textural features (joint directional probability distributions) with allographic features (grapheme-emission distributions).
Marius Bulacu, Lambert Schomaker
core   +7 more sources