Introduction: Handwriting is a complex task that requires coordination of motor, sensory, cognitive, memory, and linguistic skills to master. The extent these processes are involved depends on the complexity handwriting task. Evaluating difficulty challenging problem since it relies subjective judgment experts. Methods: In this paper, we propose machine learning approach for evaluating level ta...

BACKGROUND AND OBJECTIVE Parkinson's disease (PD) is the second most common neurodegenerative disease affecting significant portion of elderly population. One of the most frequent hallmarks and usually also the first manifestation of PD is deterioration of handwriting characterized by micrographia and changes in kinematics of handwriting. There is no objective quantitative method of clinical di...

Individuals can be identified by their handwriting. Signatures are, for example, currently used as a biometric identifier on documents such as cheques. Handwriting recognition is also applied to the recognition of characters and words on documents—it is, for example, useful to read words on envelopes automatically, in order to improve the efficiency of postal services. Handwriting is a dynamic ...

Individuals can be identified by their handwriting. Signatures are, for example, currently used as a biometric identifier on documents such as cheques. Handwriting recognition is also applied to the recognition of characters and words on documents—it is, for example, useful to read words on envelopes automatically, in order to improve the efficiency of postal services. Handwriting is a dynamic ...

In this paper, we present a multimedia system designed to facilitate learning of alphabetical handwriting of various languages by incorporating visual, auditory, and haptic feedback. An XML-based schema has been used to easily introduce new characters from other languages. The system supports two modes of operation: a learning mode and an evaluation mode. In the learning mode, a user can see, h...

The goal of this paper is to present our work on the analysis of speech and handwriting biometrics related to meta data, which are based on one side on system hardware specifics (technical meta data) and on the other side to personal attributes (non-technical meta data). System related meta data represent physical characteristics of biometric sensors and are essential for ensuring comparable qu...