Title of Document : HANDWRITING KINETICS : A SEARCH FOR SYNERGIES
نویسندگان
چکیده
Title of Document: HANDWRITING KINETICS: A SEARCH FOR SYNERGIES Alexander W. Hooke, Master of Arts, 2008 Directed By: Dr. Jae Kun Shim, Ph.D. Department of Kinesiology Fischell Department of Bioengineering Neuroscience and Cognitive Science Program The purpose of this study was to investigate central nervous system strategies for controlling multi-finger forces in three-dimensional (3-D) space during a circledrawing task. In order to do this the Kinetic Pen, a pen capable of measuring the sixcomponent force and moment of force that each of four individual contacts applies to the pen during writing, was developed. The synergistic actions of the contact forces, defined as kinetic synergy, were investigated in three orthogonal spaces: radial, tangential, and vertical to the circle edge during a circle drawing task. We employed varying directional (clockwise vs. counterclockwise) and pacing (self-paced vs. external-paced) conditions. Results showed that synergies between pen-hand contact forces existed in all components. Radial and tangential component synergies were greater than in the vertical component. Synergies in the clockwise direction were stronger than the counter-clockwise direction in the radial and vertical components. Pace was found to be insignificant in all conditions. HANDWRITING KINETICS: A SEARCH FOR SYNERGIES
منابع مشابه
Recognition of Sequence of Print and Ink Strokes: Investigation the Effect of Handwriting Pressure, Hue of Ink, Printer and Paper Type
By introducing of digital techniques, forensic document examiners has been encouraged to work with better accuracy in non-destructive ways. The aim of this study was to present a non-destructive, accessible, economic (affordable), user friendly, portable, useful and easy technique for specifying the order of crossing lines of ink stroke and printed text. The intersections of LaserJet and In...
متن کاملOff-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model
In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...
متن کاملAn Ensemble Click Model for Web Document Ranking
Annually, web search engine providers spend more and more money on documents ranking in search engines result pages (SERP). Click models provide advantageous information for ranking documents in SERPs through modeling interactions among users and search engines. Here, three modules are employed to create a hybrid click model; the first module is a PGM-based click model, the second module in a d...
متن کاملIntegration of Handwriting Recognition in Butterfly Net
ButterflyNet allows field biologists to organize and share their multimedia data easily. By integrating handwriting recognition into the system, a lot of additional functionalities can be implemented to further facilitate the process of data organization and sharing. In this paper, the search functionality is investigated and a prototype that enables searching through handwritten notes is imple...
متن کاملHandwriting Identification , Matching , and Indexing in Noisy
Title of dissertation: HANDWRITING IDENTIFICATION, MATCHING, AND INDEXING IN NOISY DOCUMENT IMAGES Yefeng Zheng, Doctor of Philosophy, 2005 Dissertation directed by: Professor Rama Chellappa Department of Electrical and Computer Engineering Throughout history, handwriting has been the primary means of recording information that is persevered across both time and space. With the coming of the el...
متن کامل