Taiwanese adult foot shape classification using 3D scanning data.

This study classifies the foot shapes of Taiwanese using 3D foot scanning data from 2000 males and 1000 females. Nine foot dimensions relative to foot length and absolute measures in the common foot length categories were applied to compare the gender differences. Using foot breadth in % foot length (% FL), ball of foot length in % FL and arch height in % FL as feature parameters, three foot shape types for males and females can be classified. Significant gender differences were found in seven of the nine foot dimensions. Females had greater ball of foot length than males (0.2% FL). When comparing feet of the same foot length, males had greater breadth, girth and height dimensions than females, except for toe height. In addition, ethnic differences in foot shape were also observed. The findings can provide very useful information for building gender-specific shoe lasts and designing footwear insoles. PRACTITIONER SUMMARY: 3D foot scanning data of 2000 males and 1000 females were classified into three different footshapes for males and females, respectively. Gender and ethnic differences on foot shape were also compared. The finding scan provide very useful information for gender-specific shoe last design and footwear production.

Differences in foot dimensions between children and adolescents with and without Down syndrome.

PURPOSE: This study compared the differences in foot dimensions between children with and without Down syndrome using three-dimensional (3D) foot scans. METHODS: 51 children with and 51 children without Down syndrome had a 3D scan taken of their right foot to compare the absolute and normalised (for height or foot length) measurements. RESULTS: Normalised foot length was shorter in children with Down syndrome (MD -11.62 mm, 95% CI -15.06 to -8.18, p < 0.001). When normalised for foot length, ball of foot length (MD 2.87 mm, 95% CI 1.17 to 4.58, p = 0.001), diagonal and horizontal foot width (MD 3.65 mm, 95% CI 1.65 to 5.66, p < 0.001; MD 4.80 mm, 95% CI 2.88 to 6.72, p < 0.001, respectively), ball and instep girth (MD 10.60 mm, 95% CI 5.96 to 15.25, p < 0.001; MD 7.92 mm, 95% CI 3.02 to 12.82, p = 0.002, respectively) and fifth toe height (MD 3.14 mm, 95% CI 2.22 to 4.07, p < 0.001) were greater in children with Down syndrome. CONCLUSIONS: Children with Down syndrome have shorter, wider feet with greater girth and fifthtoe height measurements relative to children without Down syndrome. These findings have implications for footwear fit and the manufacturing of population-specific footwear.IMPLICATIONS FOR REHABILITATIONFootwear-fitting issues arise as a result of the unique foot shape of children with Down syndrome.There are substantial variations in the foot shape of children with and without Down syndrome.Children with Down syndrome require wider, deeper footwear at a given length to accommodate their foot dimensions.These findings have implications for the manufacturing of population-specific footwear.

Stature estimation from foot anthropometric measurements in Bangladeshi population.

BACKGROUND: Estimating human stature is a major concern to formulate a biological profile which provides effective data for forensic identification. This research was aimed to generate a formula for estimating stature from human foot anthropometry. METHODS: This study was conducted in selected 150 male and 150 female subjects within the range of 18 to 60 years randomly. From each subject, stature and seven-foot measurements were taken by applying the standard technique. Stature was estimated from foot measurements by using linear and multiple regression equations. RESULTS: The result showed that each foot measurement was significantly (p < 0.001) and positively correlated with stature. Bilateral difference among male and female was not significant (p < 0.05). Multiple regression models showed better accuracy in estimating stature than linear regression models. CONCLUSION: In conclusion, it can be said that human stature can be successfully estimated by using foot measurements which can be applied in forensic investigation.

Stature estimation from different combinations of foot measurements using linear and multiple regression analysis in a North Indian male population.

Establishing the identity of the deceased is the most important task for forensic anthropologists in forensic case-work involving unidentified human remains. In such cases, forensic anthropologists examine the remains to derive the biological profile of the deceased i.e. estimation of age, sex, stature, and ethnicity to narrow down the search of the missing. Dismembered remains are recovered in mass disasters such as train mishaps, airplane crashes, earthquakes, and terrorists' attacks or in homicidal cases where perpetrator intentionally mutilates the dead body to conceal the identity of the victim. Stature estimation is considered as one of the most important tasks when a mutilated foot is recovered in process of narrowing down the pool of possible suspects/victims. Allometry is the underlying principle for estimation of stature from foot dimensions. It has been learnt from the published literature that multiple regression models including more than one factor enhances the estimation accuracies. Among the various foot dimensions, foot length is the most frequent parameter used in the estimation of stature in forensic literature. In the present study, an attempt has been made to standardize the stature estimation models from various possible combinations of foot dimensions. For this purpose, 388 Jatt Sikh males aged between 18 and 30 years were recruited from various villages of Ludhiana district of Punjab State in Northern India. Stature, five foot length measurements, and two foot breadth measurements were taken on each subject. Linear and multiple regression models were derived for the estimation of stature from various foot measurements. The highest coefficient of determination and estimation accuracy (the least standard error of estimation S.E.E) was observed from T1 (R2 = 0.397, S.E.E = 4.7109) when a single foot dimension was included in the model, (R2 = 0.416, S.E.E = 4.6425) from (T1, T3) when two-foot lengths were taken, (R2 = 0.418, S.E.E = 4.6426) from (T1, T3, T4) when three-foot lengths were included, (R2 = 0.418, S.E.E = 4.6473) from (T1, T3, T4, T5) when four-foot lengths were included, and (R2 = 0.418, S.E.E = 4.6531) when all the five foot lengths (T1, T2, T3, T4, T5) were included in the regression model. It has been concluded that multiple regression models provide more accurate results than linear regression models. However, inclusion of a factor having a weak correlation with stature in the regression model, decreases the accuracy of the model.