Showing papers on "Graphology published in 2018"

Personality Analysis through Handwriting Detection Using Android Based Mobile Device

Abstract: Graphology is one of the psychology disciplines which aims to study the personality traits of individuals through interpretation of handwriting. We can get information of one’s personality through graphology. In addition, by using android based mobile device, graphology analysis could show one’s personality faster. This study was conducted by taking 42 samples of handwriting from different backgrounds. The feature used in this study was handwriting margin. Besides, Support Vector Machine method was employed to classify the result feature from extraction process. The result of this study showed the accurate average of the application reached 82.738%.

A Model for Determining Personality by Analyzing Off-line Handwriting

Abstract: Handwriting analysis is the scientific method or way of determining or understanding or predicting the personality or behavior of a writer. Graphology or graph analysis is the scientific name of handwriting analysis. Handwriting often called as brain writing or mind writing, since it is a system of studying the frozen graphic structures which have been generated in the brain and placed on paper in a printed or cursive style. Many things can be revealed from handwriting such as anger, morality, fears, past experience, hidden talents, mental problems. Handwriting is different from person to person. People are facing various psychological problems. Teenagers also face so many mental problems. Criminals can be detected by using handwriting analysis. Counselor and mentor can also use this tool for giving advice to clients. Proposed work contains three main steps: image preprocessing, identification of handwriting features, and mapping of identified features with personality traits. Image pre-processing is the technique in which the handwriting sample is translated into a format which can be easily and efficiently processed in further steps. These steps involve noise removal, grayscale, thresholding, and image morphology. In feature identification, there is an extraction of handwriting features. Three features of handwriting are extracted that are left margin, right margin, and word spacing. Lastly, extracted features are mapped with personality using the rule-based technique. The personality of a writer with respect to three handwriting features is displayed. The proposed system can predict 90% accurate personality of the person.

A Machine Learning Approach to Employability Evaluation Using Handwriting Analysis

Abstract: Writing is a process which is rooted deep within the creative processes of the mind. While writing, the mind and the hand synchronize to act as a smoothly functioning unit, thus enabling the pen to act as an extension of the person’s innermost self. Emotional factors often dictate the writing strokes and mannerisms. The science of graphology can be applied to discern a person’s behavior and inner psychological makeup from their handwriting. Certain features such as the page margins, handwriting size etc. are often reflective of mood changes and characterize the writer’s state of mind at the moment of writing. An automated process for extracting these features and mapping them to the various personality traits can definitely prove to be a boon for many applications like - recruitment process or even psychological analysis. In this paper, we propose feature extraction methods implemented using image processing techniques to select features to be used further for this trait identification. Once the features have been selected, existing classifiers have been put to work to determine the employability evaluation of a candidate from an HR perspective.

An Algorithm to Extract Handwriting Feature for Personality Analysis

Abstract: Personality of an individual can be analyzed by their handwriting. Handwriting analysis can quickly reveal such factors as one’s character, emotions, intellect, creativity, social adjustment, your desires, fears, weaknesses, strengths, and sexual appetite among others. Features like the size of one’s handwriting, the slant, and others help in identifying the particular trait associated with the subject. A handwriting analysis report can help you gain insights into one’s own strengths and weaknesses. In this work, we suggest an algorithm to extract one of the features used in graphology, i.e., Tittle over letter i. Image Processing was used for feature extraction using MATLAB.

Handwriting Analysis Through Graphology: A Review

Abstract: Graphology assists in interpreting a person's character and identity attributes by analysing the handwriting. Graphology is the investigation of the sensible state of mind at the time of writing. These thoughtfully give understanding into the morality, hidden talents and enthusiastic conditions of the writer or artist. The handwriting is exceptional. Composing is a physical procedure. The cerebrum state is reflected in the handwriting, as the signals moves to fingers, where together they control the handwriting. Graphology can be utilized to analyse the characteristic features of an individual. The various approaches used in personality analysis using graphology are discussed in this paper.

Informing Personal Branding through Self-Assessed Handwriting Analysis: Proposal of a Supportive Online Platform

Abstract: Despite the abundant existing literature on the psychological aspects of graphology and visual communication, very little research (if any), has been conducted, as to the links of interpreting personal handmade markings on graphic self-branding processes. This research aimed to investigate possible interrelations between fields of handwriting analysis (graphology) and personal branding, underpinning methods and patterns of building graphic personal identities amongst higher education students. Furthermore, it aimed to promote the use of graphology in self-branding processes. This involved secondary sources of information, along with empirical works, totalling 25 semi-structured interviews and the collection of 97 handwritten samples to detect commonalities/differences of handmade markings. Participants included higher education students and instructors from visual communication fields across two cultural contexts: Saudi Arabia and the United Kingdom. The achieved findings were discussed with two professional UK-based graphologists. Given that self-branding is considered complex and time consuming amongst visual communication students, the outcome proposes an online personal brand design platform, innovating current methods of self-related research, yet grounded on current usages of conventional handwriting and providing a visual scope of relevant design applications, considering internal and external influencing factors.

A Rendering Model for Emotional In-air Handwriting

Abstract: According to graphology, people’s emotional states can be detected from their handwriting. The purpose of our research is to propose a 3D handwriting rendering model which has emotional capabilities. We developed an in-air handwriting system and selected eight emotions (afraid, angry, disgusted, happy, sad, surprised, amorous and serious) to be conveyed using five rendering parameters (weight, smoothness, tip of stroke, ink density and ink dryness). We then conducted an online survey to determine the optimal parameters’ values. A first result shows that there is a positive correlation between the Euclidean distance between two emotions on the valence-arousal emotion two-dimensional model and the distance between the calculated rendering parameters’ values. Another online survey then revealed that four of the emotions (afraid, sad, serious and angry) are well conveyed. The results are less conclusive for the other four emotions, but further work is being conducted to improve the model when the handwriting is shown in conjunction with the other emotional channels of a social robot.

Automated Career Guidance Using Graphology, Aptitude Test and Personality Test

Abstract: Corporate World is full of uncertainty and change. This uncertainty has led to individual's dilemma about choosing a career path. This product will acquaint the user with various career domains and help him/her choose the appropriate profession. In this work, the key aspects of human behavior and analysis are taken into consideration. The key aspects include conscious as well as subconscious factors that help decide one's attitude and aptitude. The analysis used are Aptitude Test, Psychometric Test (Myers-Briggs Type Indicator - MBTI) and handwriting analysis. The question-answer module gives career and personality with conscious answers given by individuals, whereas handwriting module focuses on the subconscious way of mapping career and personality. Thus, integration of all three modules gives appropriate career options.

A grapho-syntactic analysis of selected advertisements in nigerian newspapers

Abstract: This paper sought to investigate the stylistic variations in newspaper advertisements to assess the creative impetus of advertisers in the Punch and Guardian newspapers. The data for this study were identified according to their types as business, obituary, political, birthday and congratulatory adverts. The Graphology of the advert types as well as the likely syntactic inappropriateness in each sample was the goal of the paper. The data were then theoretically isolated in terms of marked-ness in patterns and deviance in choices of advertisers. We found that details such as dates, venues and phone numbers are vital information in advertisements. Secondly, major syntactic disorders in advertisements are meant to achieve stylistic purposes. Moreover, the syntactic errors in advertisements are typographical and graphological. Above all, there is nothing as graphological errors but graphological features. We conclude that advertising is a form of communication about ideas, things, services, events or people, which is paid for by an individual or organization. The group of people that adverts are directed towards will then determine the styles of graphology and syntax (language) with which it has been written to ensure appropriate meaning-making. Therefore, graphological and syntactic deviances are not particularly errors; rather, they are meant for stylistic purposes. Keywords: Graphology, Syntax, Advertisements, Newspapers, Errors, Communication, Stylistics

The Role of Selection System using Graphology to Detect the Organizational Commitment and its Implication to the Performance of Worker

Abstract: The aim of of this paper is to examine The Role Of Selection System Using Graphology To detect The Organizational Commitment And Its Implication To The Performance Of Worker. The data collected consist of primary data and secondary data. Primary data obtained through observation and interview to worker and Graphologist. Secondary data were obtained through literature study. The sample consisted of the worker selected by using Graphology and without using Graphology (30 worker). Handwritten results of participants who have been collected were processed by By Handwriting Wizard. Then to analysed the data, QDA Miner Lite was used. QDA Miner Lite software is one of the tool in processing qualitative data. The results indicate that there is a role for the selection system using Graphology to detect Organizational Commitment. Beside that, there is the implication of selection using Grahology to the performance of worker.

An Emotional Spatial Handwriting System

Abstract: According to graphology, people's emotional states can be detected from their handwriting. Unlike writing on paper, which can be analysed through its on-surface properties, spatial interaction-based handwriting is entirely in-air. Consequently, the techniques used in graphology to reveal the emotions of the writer are not directly transferable to spatial interaction. The purpose of our research is to propose a 3D handwriting system with emotional capabilities.For our study, we retained height basic emotions represented by a large spectrum of coordinates in the Russell's valence-arousal model: afraid, angry, disgusted, happy, sad, surprised, amorous and serious. We used the Leap Motion sensor (https://www.leapmotion.com) to capture hand motion; C# and the Unity 3D game engine (https://unity3d.com) for the 3D rendering of the handwritten characters. With our system, users can write freely with their fingers in the air and immerse themselves in their handwriting by wearing a virtual reality headset.We aim to create a rendering model that can be universally applied to any handwriting and any alphabet: our choice of parameters is inspired by both Latin typography and Chinese calligraphy, characterised by its four elementary writing instruments: the brush, the ink, the brush-stand and the ink-stone. The final parameter selection process was carried out by immersing ourselves in our own in-air handwriting and through numerous trials.The five rendering parameters we chose are: (1) weight determined by the radius of the rendered stroke; (2) smoothness determined by the minimum length of one stroke segment; (3) tip of stroke determined by the ratio of the radius to the writing speed; (4) ink density determined by the opacity of the rendering material; and (5) ink dryness determined by the texture of the rendering material, which can be coarse or smooth.Having implemented the 3D handwriting system and empirically determined five rendering parameters, we designed a survey to gather opinions on which rendering parameters' values are most effective at conveying the intended emotions. For each parameter, we created three handwriting samples by varying the value of the parameter, and to avoid the combinatorial explosion of the number of samples, each parameter was made to vary independently of the others. The formula we used to calculate the optimal value of a parameter is as follows:Where i = 1, 2, 3 refers to the value of the parameter used in the sample; Q is the total number of respondents (64 in average); qi is the number of people who chose that sample; and Pi denotes the parameter. Applying the R values to the 3D handwriting system in Unity, we obtain the eight emotional styles illustrated below.We calculated the Euclidean distances between each pair of emotions using their 2D coordinates (x, y) in the Russell's valence-arousal emotion model and their 5-dimensional vectors of normalised parameters' values. Across all pairs of emotions, there is a positive correlation (R=0.41) between the two distances. This is an interesting result, which seems to support the choice of parameters' values that was made in the model.We then conducted another survey (42 respondents) to evaluate the emotional capabilities of our rendering model. Handwriting samples in both Chinese and English were produced for each of the 8 emotions, making a total of 16 samples. The four most notably recognised emotions are: afraid, sad, serious and angry. Binomial tests with a 95% confidence interval showed that for these four emotions the respondents' choices were significantly different from random chance. We note that these four emotions have all negative or neutral valence in the Russell's valence-arousal model. The emotion afraid was particularly well recognised. The emotion happy was well recognised but was also often confused for serious. The least correctly identified emotions are disgusted, amorous and surprised. Selecting one emotion among eight by observing a single word sample is a difficult exercise, but the results are encouraging.

“Nonsense Rides Piggyback on Sensible Things”: The Past, Present, and Future of Graphology

Abstract: “Nonsense rides piggyback on sensible things”, declares professional sceptic and questioned-document analyst Joe Nickell concerning graphology. This chapter examines graphology’s enduring allure and reach, despite its controversies, and considers its relationship with other types of handwriting analysis. It first asks: is it possible to metaphorically “dissect” the page of handwritten texts, to scrutinize writing as a “medical paratext” rich in information about the writer’s state of health? It then interrogates the nature of the connection between physical and mental states and handwriting. It demonstrates how academics are going “back to basics” with their enquiries into individual difference and handwriting features, and how digital methodologies are contributing to this. Thus, this chapter is an updated study of graphology, providing a wider understanding of the concept of the paratext by considering the information captured in handwriting in the context of a digital age.