Estimation of stature from diversified hand anthropometric dimensions from Korean population

Jee, Soo-chan; Yun, Myung Hwan

doi:10.1016/j.jflm.2015.06.014

Cited by 39 publications

(29 citation statements)

References 20 publications

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“…As indicated in Table 1, the highest correlation to stature is hand length for both hand and also for handprint. The populations under study also exhibited that hand and handprint length has the highest correlation to stature in both males and females, similar to previous results in other countries [6], [8], [9]. This proves that the relationship between the two variables of interest does exist and they are in positive correlation.…”

Section: Resultssupporting

confidence: 88%

“…Descriptive statistics The mean stature for male was 167.587cm (SD 5.832; range 153.4-181.8) and for female was 155.049cm (SD 5.392; range 141.1-169.6). This showed that male stature is higher than female stature, similar findings found in literatures regarding stature estimation [6], [8], [15]. Table 1 shows the descriptive statistical analysis for the measurements of hand and handprint in both sexes.…”

Section: Resultssupporting

confidence: 84%

“…Another impression evidence that is also an important piece of evidence in forensic anthropometry is handprint, where one can obtain information such as height, weight and sex provided by formulae. Several numbers of studies have presented the relation between stature and hand and handprint among different human population utilizing linear and multiple regression analysis [5], [6], [7], [8], [9]. The measurements of hand and handprint showed positive correlation with stature and they also found that hand length and handprint length has the strongest correlation and lowest SEE.…”

Section: Introductionmentioning

confidence: 99%

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Stature Estimation Using Hand and Handprint Dimensions Among Malaysian Population

Khairulmazidah

2018

IJET

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There are various studies of stature estimation which is very important for formulation of biological profile and is population specific. This study was conducted to estimate height using hand and handprint dimensions among Malaysian population. This study comprises 200 voluntary male and 200 voluntary female subjects with age ranging from 20 to 60 years. Eight anthropometric measurements were taken on each hand and its corresponding prints. All the data was statistically analyzed using IBM SPSS Statistic 19 software. The result indicated that hand length and handprint length has the strongest correlation with stature for male and female subjects. However, for unknown gender, it was showed that almost all of the hand dimensions measured in this study except for pinky finger length showed strong correlation with stature for both right and left hand while for handprint measurements, only hand length and palm length gave better correlation with stature. Formulae for stature estimation using various hand and handprint dimensions were derived successfully for both linear and multiple regression for the ease of data availability in future use.

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Section: Resultssupporting

confidence: 88%

Section: Resultssupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

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Stature Estimation Using Hand and Handprint Dimensions Among Malaysian Population

Khairulmazidah

2018

IJET

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“…Jee et al [26] used the same 29 hand features and population as in [20] to analyse the relationship between hand features and height using multilinear regression and stepwise feature selection. The results showed that length related variables (hand length, palm length) had higher estimation accuracy than breadth related features (hand breadth and maximum hand breadth) and thickness related features (hand thickness and maximum hand thickness).…”

Section: The Relationship Between Hands and Demographical Detailsmentioning

confidence: 99%

Comparing Machine Learning Classifiers and Linear/Logistic Regression to Explore the Relationship between Hand Dimensions and Demographic Characteristics

et al. 2016

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Understanding the relationship between physiological measurements from human subjects and their demographic data is important within both the biometric and forensic domains. In this paper we explore the relationship between measurements of the human hand and a range of demographic features. We assess the ability of linear regression and machine learning classifiers to predict demographics from hand features, thereby providing evidence on both the strength of relationship and the key features underpinning this relationship. Our results show that we are able to predict sex, height, weight and foot size accurately within various data-range bin sizes, with machine learning classification algorithms out-performing linear regression in most situations. In addition, we identify the features used to provide these relationships applicable across multiple applications.

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“…However, stature predicting from body parts found in these events can be performed by mathematical methods and linear regression equations can find the relation between body parts and stature. [10][11][12] According to literature, the relation between stature and upper limb dimensions such as shoulder width, arm, forearm, hand, figures were studied in previous studies. [13][14][15][16][17][18][19] In this study, the relation between forearm length and stature was evaluated by regression equation in Iranian medical students.…”

Section: Introductionmentioning

confidence: 99%

Stature estimation from forearm length: an anthropological study in Iranian medical students

Poorhassan

Mokhtari

Navid

et al. 2017

J. contemp. med. sci.

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Objective Stature estimation is an important biological factor for forensic medicine to identify an individual. Forearm length can be used for the prediction of the stature in different populations. In the present study, the relation between forearm length and height was evaluated. Methods In a cross sectional study, a sample of 100 males and 100 females (aged 18 to 25 years) medical students from Iranian population was randomly entered into the study. Left forearm was measured by measuring tape. Stature was measured in standard position. The linear regression analysis was used to estimate the relation between forearm length and the stature. Results The mean age of subjects was 22 ± 2.21 years. Mean age of male cases was 22 ± 2.8 years and female cases was 21.9 ± 1.81 years and there wasn't significant difference in the age of sex groups (P = 0.314). A significant differences were recorded in the height and forearm length of subjects between two sex groups (P = 0.0001). There was a correlation between height and forearm length of all subjects (r = 0.643, P = 0.0001). According to the linear regression, there was a relation between height and upper arm length of subject in all cases. Conclusion According to the results, forearm length was a moderate predictor for stature estimation of medical students in Iranian population.

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Estimation of stature from diversified hand anthropometric dimensions from Korean population

Cited by 39 publications

References 20 publications

Stature Estimation Using Hand and Handprint Dimensions Among Malaysian Population

Stature Estimation Using Hand and Handprint Dimensions Among Malaysian Population

Comparing Machine Learning Classifiers and Linear/Logistic Regression to Explore the Relationship between Hand Dimensions and Demographic Characteristics

Stature estimation from forearm length: an anthropological study in Iranian medical students

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