Our judicial system has generally accepted the use of scientific and technological developments geared to apprehending criminals.' Some widely used crime detection techniques that have gained judicial support are blood,2 urine, 3 and breath tests,4 which determine bodily alcohol or narcotics content; radar equipment, which measures automobile speed;5 ballistic examinations, which assist in the ...

In this paper a use of haptic and visual training for Chinese handwriting learning is investigated. Participants learned a given character under three training conditions (haptic, visual, haptic-visual) and were required to write the given character plus two characters with common stokes on a tablet before and after training for improvement comparison. Performance was measured in terms of mean ...

A patient with pure akinesia is described. This rare gait disorder, poorly responsive to therapy, is characterized by gait impairment which may be associated with handwriting and speech difficulties, in the absence of further signs of extrapyramidal involvement. Here, we report the improvement in a patient suffering from pure akinesia after low doses of rotigotine, a non-ergolinic dopamine agon...

Most on-line cursive handwriting recognition systems use a lexical constraint to help improve the recognition performance. Traditionally, the vocabulary lexicon is stored in a trie (automaton whose underlying graph is a tree). In a previous paper, we showed that non-deterministic automata were computationally more efficient than tries. In this paper, we propose a new method for constructing inc...

The study of the link between handwriting and personality is known as analysis. It a specific manner using to convey one’s cognitive process. That’s why it’s also “brain writing”. Handwriting, like person’s fingerprint, unique trait that cannot be duplicated by two distinct people. aids us in determining emotional state. Handwriting recognition usually done traditional manner, which professiona...

If the influence of visual-motor integration (copying forms) on the quality of handwriting has been widely investigated, the influence of eye-hand coordination (tracing item) has been less well analyzed. The Concise Assessment Scale for Children’s Handwriting (BHK), the Developmental Test of Visual Perception (DTVP-2), and the section “Manual Dexterity” of the Movement Assessment Battery for Ch...

Signatures and handwriting have long played a role in dayto-day business transactions and in forensics, e.g., to authenticate documents, as evidence to establish crime or innocence, etc. The individuality of handwriting and signatures is the basis for their relevance to authentication and forensics. This very individuality makes them also potentially useful as a biometric modality. This chapter...

An efficient algorithm for recurrent neural network training is presented. The approach increases the training speed for tasks where a length of the input sequence may vary significantly. The proposed approach is based on the optimal batch bucketing by input sequence length and data parallelization on multiple graphical processing units. The baseline training performance without sequence bucket...

The scanning ntuple classifier is an efficient and accurate classifier for handwriting recognition. One of the major difficulties in implementing this scheme is its demand for a very large memory space, thus making it unsuitable for resource constrained systems such as embedded applications. This paper proposes some modifications to the basic sntuple algorithm which eliminates the necessity of ...

Handwriting has been conventionally used for input by applying handwriting recognition. In this paper we propose to use handwriting without recognition as a temporal medium of communication in synchronization with other media like audio and video. This ensures that the interfaces developed are language independent and provide rich, natural and intuitive interaction. We present multiple applicat...