不同性别、年龄、学历人群汉字笔迹特征的差异研究

摘要

目的 分析不同性别、学历、年龄人群间汉字笔迹特征的差异.方法 采用电子书写屏(ESP1020)在全国范围内采集笔迹样本1 474份,对采集的笔迹样本利用自主研发的"笔迹特征分析系统(HCAS)"进行量化处理,该系统可自动提取平均字面积等36项客观笔迹特征数据,同时采用"整体印象评价法"对整体美观度等4项主观笔迹特征进行量化评定,最后将40项笔迹特征数据导入SPSS23. 0做统计分析.结果 男女两性在平均字高[(6. 960±1. 843) mm,(6. 757±1. 762) mm,t=2. 16,P<0. 05]等11项笔迹特征上差异有统计学意义;不同学历组在平均字面积[小学初中(52. 175 6 ±33. 989 5)mm2,高中中专(64. 320 7±63. 123 5)mm2,大专及以上(63. 815 3±58. 147 4)mm2,t=5. 42, P<0. 01]等21项笔迹特征上差异有统计学意义;不同年龄组在书写时间、笔压、字面积等28项笔迹特征上差异有统计学意义(P<0. 05,P<0. 01).结论 性别、学历、年龄等人口学变量对笔迹特征的不同方面存在不同程度的影响.%Objective To investigate the differences of handwriting characteristics among different genders,educational backgrounds and ages. Methods The ESP1020 was used to collect 1 474 handwriting samples throughout the country,and the collected handwriting samples were quantized by the self-developed" HCAS" software. The system could automatically extract 36 objective handwriting features,such as the aver-age character area,at the same time,4 subjective handwriting features such as the overall beauty are quanti-fied by the " overall impression evaluation method" . Finally,forty handwriting characteristics data were intro-duced into SPSS23. 0 for statistical analysis. Results There were statistically significant differences in 11 handwriting characteristics between male and female,such as average Chinese characters height ((6. 960± 1. 843) mm,(6. 757±1. 762) mm,t=2. 16,P<0. 05). There were statistically significant differences in 21 handwriting characteristics between the groups with different educational backgrounds,including the average Chinese characters area in primary school and junior high school((52. 175 6± 33. 989 5) mm2 ),in senior high school and technical secondary school(( 64. 320 7 ± 63. 123 5) mm2 ) and in junior college or above ((63. 815 3±58. 147 4)mm2)(t=5. 42,P<0. 01). There were statistically significant differences in 28 hand-writing characteristics in different age groups,such as writing time,pen pressure and Chinese characters area (P<0. 05,P<0. 01). Conclusions Demographic variables such as gender,education background and age have different effects on different aspects of handwriting characteristics.