SCHOOL OF ENGINEERING SCIENCES DEPARTMENT: BIOMEDICAL ENGINEERING BMEN 307 – BIOMECHANICS GROUP: TWELVE (12) LAB REPORT 2: ANTHROPOMETRIC DATA MEASUREMENTS. LECTURER: KWABENA KAN-DAPAAH, PH.D. GROUP 12 MEMBERS: 1. LAMPTEY N. JORDAN – 10817072 2. YELISONG JEFFREY KENYIRI – 10810195 3. BAAFI PAUL NANA KWAME – 10809727 4. TAWIAH EMMANUEL – 10832357 5. PHILEMON ATIVOR – 10841558 1|Page ABSTRACT Anthropometry deals with the measurement of size, shape, and inertial properties of human body segments[1]. The core elements of anthropometry are height, weight, head circumference, body mass index (BMI), and body circumferences to assess for adiposity (waist, hips, and limbs) and skin fold thickness. The typical equipment used to obtain anthropometric data include; weight scale, calibration weight, stadiometer, knee calipers, non-stretchable table measure, and infantometer. The objective of this experiment was to highlight the techniques used in collecting and analyzing anthropometric data, and to compare measured and estimated data with literature anthropometry data. For each member of this group, data in terms of mass and height were measured. A digital scale was used to collect the mass of each member. Masses collected from members ranged from 59.57 to 80.02 kg. Their heights similarly measured values that ranged from 163.7 to 174.3 cm, which is from the shortest to the tallest. All these measurements were made possible by the use of the anthropometer, stadiometer, digital scale, and measuring tape. The data gathered indicated variation in body masses, sizes and height. It was noticed that the same candidate recorded the least value in all the measurements including height, mass, and body lengths. Measurement obtained from these individuals can be used in designing equipment and tools that can suit work needs and provide comfort. INTRODUCTION Anthropometry is the science that defines physical measures of a person’s body. Its data can simply be described as a systemic collection and correlation of quantitative data that measures values of body size, structure, and composition of a particular population [1]. This can include differences between groups such as race, age, sex, and body type. This data is very vital because it aids in design and ergonomics [2]. The study also facilitates the prediction of a body’s response to the design of the workspace interface. Anthropometric data has several implications and benefits in diverse fields such as architecture and science. Below are some applications of anthropometric data: 1. Improved prevention of occupational injury. The interaction of workers with tasks, tools, machines, vehicles, and other personal equipment have been made easy with the aid of anthropometric measurements and datasets. As such, experts can determine the degree of protection against risk and dangerous exposures, whether chronic or acute. 2|Page 2. Ergonomics is the industry centered on the design and creation of instruments through the evaluation of human comfort, movement, and other anthropometric measurements. In ergonomics, anthropometric measurements are derived from the understanding that all aspects of human life involves numerous activities (e.g. work, physical exercise, family, education, and leisure). As such, ergonomic designs are tested using series of experiments such as obtaining anthropometric measurements to derive “ergonomic parameters/dimensions” of posture and movements. Thus, it is used as a basis for setting up workstations. To summarize, anthropometric data plays a vital role in design by determining the shape and dimensions of a body so that products designed are more suitable to provide needed comfort to the user [3]. 3. Physical anthropologist and criminologist use anthropometric data and measurements in the study of human evolution by comparing novel fossil remains to archived specimens and forensics. 4. Anthropometric data plays vital roles in the fields of anatomical imaging techniques, geriatrics, pediatrics, and bariatrics (obesity).Anthropometrics has been long recognized as an indicator of human health in pediatrics. It is used in assessing growth and development of humans, both in utero and during childhood in the areas of head circumference measurements, weight, and height. Head circumference is of great importance because it is correlated with brain growth and can help identify signs of severe malnutrition in children. [3] METHODOLOGY a. Total body height (H): Tools – tape measure, headpiece i. Shoes and any hair ornaments that could interfere with measurements were removed. ii. The subject was made to stand against a flat wall surface with no protrusion. The following precautions were ensured: • Feet of subjects were flatly placed on the floor and together, legs were straight, arms by the size and shoulder were levelled. • Flooring was a flat hard surface and not carpeted. • Line of sight of subject is parallel with the floor. iii. Measurements were taken while the subject stood with head, shoulders, buttocks, and heels touching the flat surface (wall). 3|Page iv. A flat headpiece was used to form a right angle with the wall and the headpiece was lowered until it firmly touched the crown of the head. v. The measurer’s eyes were then made to focus at the same level as headpiece. vi. Where the bottom of the headpiece met the wall was slightly marked and a tape measure was used to obtain the height from the base of the floor to the marked point on the wall. vii. The height was accurately recorded to the nearest 0.1cm. b. Total body mass (M): Tools – Digital scale i. A scale was placed on a hard flat surface. ii. Shoes and heavy clothing like sweaters were removed and the subject was made to stand in the centre of the scale iii. The weight of the subject was recorded. c. Body Segment Lengths (BSL): Tools – Anthropometer Body length segments were measured from joint to joint. The lengths of the following body segments were measured: i. Hand: Wrist axis/knuckle to middle finger ii. Forearm: Elbow axis/ulnar styloid iii. Shank: Femoral condyles and medial malleolus iv. Foot: Lateral malleolus/head metatarsal II d. Body Segment circumferences (BSC): Tools – Tape measure i. Subject removed any baggy clothes that could interfere with measurements. ii. Subjects stood in anatomical position. iii. A tape measure was used to measure the circumference of the segment at 2cm interval starting at the proximal end. iv. The circumference of the body segment that was measured was Forearm. e. Other body segment measurements that were taken included: i. Thigh thickness ii. Scapular height iii. Shoulder height iv. Knee height v. Elbow height vi. Popliteal height 4|Page vii. Popliteal lenght viii. Hip width RESULTS a. Measured data: Data measured for each member was recorded in the table below. Table 1: Measured Anthropometric Data Subject H(cm) M(Kg) ID BSL (cm) Hand BSC Forearm Shank Foot Forearm i. 30.5 10817072 166.3 77.36 19.4 27.5 42.3 21.5 ii. 27.0 iii. 23.5 iv. 19.8 i. 27.0 10810195 174.3 66.85 21.1 29.8 43.2 23.5 ii. 24.5 iii. 22.0 iv. 18.3 i. 30.2 10809727 166.6 80.02 20.2 26.7 37.1 21.4 ii. 27.8 iii. 24.5 iv. 20.0 i. 23.2 10832357 168.5 59.60 17.5 27.0 38.2 22.0 ii. 19.3 iii. 17.6 iv. 15.0 i. 30.0 10841558 163.7 59.57 18.7 26.3 36.5 21.3 ii. 27.8 iii. 24.5 iv. 20.0 i. The table below shows other body segment measurements (e.) that were taken for each member of the group. All measured in cm. 5|Page 10817072 10810195 10809727 10832357 10841558 Thigh thickness 17.2 14.2 16.9 13.5 11.3 Scapular height 40.3 39.9 38.9 38.8 35.3 Shoulder height 54.5 57.2 55.0 53.7 48.2 Knee height 53.8 55.1 52.7 52.5 52.1 Elbow height 17.4 14.3 16.4 14.6 14.5 Popliteal height 44.3 46.3 39.2 42.4 37.9 Popliteal length 49.3 47.9 51.0 51.3 49.2 Hip width 39.5 32.7 38.0 33.6 34.7 b. Calculating body segment mass (ππππ ) Individual segment mass is proportional to whole body mass. The total mass of the segment is defined as: mt = Σmi Where: mi = ρππ ππππ For 10841558: πΆπΆ1 = 0.3ππ = 2ππππ1 , ππππ = 0.3 = 0.0477ππ 2ππ π·π·π·π·π·π·π·π·π·π·π·π·π·π· (ρ) = 1130ππππ , ππ3 π‘π‘βππππππππππππππ: (βπ»π») = 0.02ππ Volume (ππ1 ) = area × thickness = π (0.047)2 × 0.02 = 0.000142961ππ3 6|Page ππππ = 1130πΎπΎπΎπΎ/ππ3 × 0.000142961ππ3 = 0.16155Kg ππππ = 0.278 = 0.04424 2ππ Volume (ππ2 ) = π (0.04424)2 × 0.02 = 1.22973×10−4 ππ ππππ = 1130πΎπΎπΎπΎ/ππ3 × 1.22973×10−4 ππ = 0.13896Kg ππππ = 0.245 = 0.0389 2ππ Volume (ππ3 ) = π (0.0389)2 × 0.02 = 9.5078×10−5 ππ ππππ = 1130πΎπΎπΎπΎ/ππ3 × 9.5078×10−5 ππ = 0.10744Kg ππππ = 0.20 = 0.0318ππ 2ππ Volume (ππ4 ) = π (0.0318)2 × 0.02 = 6.3538×10−5 ππ ππππ = 1130πΎπΎπΎπΎ/ππ3 × 6.3538×10−5 ππ = 0.07179Kg Therefore π¦π¦ππ = Σπ¦π¦ππ + π¦π¦ππ + π¦π¦ππ + π¦π¦ππ π¦π¦ππ = 0.16155Kg + 0.13896Kg + 0.10744Kg + 0.07179Kg π¦π¦ππ = 0.4797Kg The same procedure was used to calculate the π¦π¦ππ for the remaining 3 group members. 7|Page c. Table 2: Calculated Values No. Subject ID 1. 10832357 ππππ (Kg) 2. 10817072 0.4682 3. 10810195 0.3856 4. 10841558 0.4797 0.2597 πͺπͺπͺπͺM 7.1465×10−3 7.4447×10−3 6.7769×10−3 6.7354×10−3 ππ πͺπͺπͺπͺM = ππ × mi × π‘π‘βππππππππππππππ: (βπ»π») ππ For 10841558: ππ πͺπͺπͺπͺM = ππ × mi × π‘π‘βππππππππππππππ: (βπ»π») ππ ππ πͺπͺπͺπͺM = 0.4797 × 0.16155Kg × 0.02 = 6.7354×10−3 ππ For 10832357: ππ πͺπͺπͺπͺM = ππ × mi × π‘π‘βππππππππππππππ: (βπ»π») ππ ππ πͺπͺπͺπͺM = ππ.ππππππππ × 0.09667Kg × 0.02 = 7.4447×10−3 ππ For 10817072: ππ πͺπͺπͺπͺM = ππ × mi × π‘π‘βππππππππππππππ: (βπ»π») ππ ππ πͺπͺπͺπͺM = 0.4682 × 0.1673Kg × 0.02 = 7.1465×10−3m For 10810195 ππ πͺπͺπͺπͺM = ππ × mi × π‘π‘βππππππππππππππ: (βπ»π») ππ ππ πͺπͺπͺπͺM = 0.3856 × 0.13066Kg × 0.02 = 6.7769×10−3m 8|Page d. Table 3: Derived Values I No. Subject ID 1. 10832357 ππππ ⁄π΄π΄ 0.00435 πͺπͺπͺπͺπͺπͺ⁄π©π©π©π©π©π©ππππππππππππππ 2. 10817072 0.00605 0.02599 3. 10810195 0.00577 0.02274 4. 10841558 0.00805 0.02494 e. Table 4:Derived Values II No. Subject π©π©π©π©π©π©ππππππππ ⁄π―π― ID 10832357 0.1038 1. 0.02761 π©π©π©π©π©π©ππππππππππππππ ⁄π―π― 0.1602 π©π©π©π©π©π©ππππππππππ⁄π―π― 0.2267 π©π©π©π©π©π©ππππππππ ⁄π―π― 0.1305 2. 10817072 0.5650 0.1653 0.2543 0.1292 3. 10810195 0.1210 0.1709 0.2478 0.1348 4. 10841558 0.1140 0.1560 0.2160 0.1260 DISCUSSION a. i. This section analyses our results obtained. Data from Table 3 shows the values of ππππ ⁄π΄π΄ of the forearms for subjects 1, 2, 3, and 4; 10832357 ππππ ⁄π΄π΄ 10817072 0.00605 10810195 0.00577 10841558 0.00805 ID 0.00435 From the anthropometric data study sheets [4], that the average value for ππππ ⁄π΄π΄ of the forearm is 0.016. 9|Page Average ππππ ⁄π΄π΄ = ππ.ππππππππππ+ ππ.ππππππππππ+ ππ.ππππππππππ+ ππ.ππππππππππ ππ = 0.00605 Comparing measured values to that of literature from the anthropometric data sheets an error of about 62.156% was obtained. ii. Data from Table 3 also shows the values πͺπͺπͺπͺπͺπͺ⁄π©π©π©π©π©π©ππππππππππππππ for 4 subjects as: 10832357 πͺπͺπͺπͺπͺπͺ⁄π©π©π©π©π©π©ππππππππππππππ 10817072 0.02599 10810195 0.02274 10841558 0.02494 ID 0.02761 From the anthropometric data study sheets[5], that the average value for πͺπͺπͺπͺπͺπͺ⁄π©π©π©π©π©π©ππππππππππππππ of the forearm is 0.430. ππ.ππππππππππ+ ππ.ππππππππππ+ ππ.ππππππππππ+ ππ.ππππππππππ Average πͺπͺπͺπͺπͺπͺ⁄π©π©π©π©π©π©ππππππππππππππ = ππ = 0.02532 Comparing measured values to that of literature from the anthropometric data sheets an error of about 94.11% was obtained. b. For this experiment anthropometric data was collected using indirect method, as such some degree of errors like parallax errors might contribute to differences obtained when comparing values to that of literature. In addition, values obtained in literature were collected from nine male Caucasian cadavers having average builds and age of 69 years. This reason affected the correspondence of our derived values to literature since subjects for this experiment were Africans and have an average age of 20. i. Values derived for π©π©π©π©π©π©ππππππππ ⁄π―π― for the 4 subjects were: 10832357 π©π©π©π©π©π©ππππππππ ⁄π―π― 10817072 0.5650 10810195 0.1210 10841558 0.1140 ID 0.1038 10 | P a g e Anthropometric data from literature [4]showed π΅π΅π΅π΅π΅π΅βππππππ / H to be 0.128 for males. Average π©π©π©π©π©π©ππππππππ ⁄π―π― = ππ.ππππππππ + ππ.ππππππππ + ππ.ππππππππ + ππ.ππππππππ ππ = 0.22595 Comparing measured values to that of literature from the anthropometric data sheets an error of about -76.523% was obtained. ii. The values derived for π©π©π©π©π©π©ππππππππππππππ ⁄π―π― of the subjects were: ID π©π©π©π©π©π©ππππππππππππππ ⁄π―π― 10832357 0.1602 10817072 0.1653 10810195 0.1709 10841558 0.1560 Anthropometric data from the same study[4] showed π©π©π©π©π©π©ππππππππππππππ ⁄π―π― to be 0.145 for males. Average of the derived values of π©π©π©π©π©π©ππππππππππππππ ⁄π―π― for the 4 subjects is 0.1631. Comparing measured values to that of literature from the anthropometric data sheets, an error of about -11.0974% was obtained. iii. The values derived for π©π©π©π©π©π©ππππππππππ⁄π―π― of the subjects were; 10832357 π©π©π©π©π©π©ππππππππππ⁄π―π― 10817072 0.2543 10810195 0.2478 10841558 0.2160 ID 0.2267 Anthropometric data from the same study[4] showed π©π©π©π©π©π©ππππππππππ⁄π―π― to be 0.242 for males. Average of the derived values of π©π©π©π©π©π©ππππππππππππππ ⁄π―π― for the 4 subjects is 0.2362. Comparing measured values to that of literature from the anthropometric data sheets, an error of about 2.4855% was obtained. iv. The values derived for π©π©π©π©π©π©ππππππππ ⁄π―π― of the subjects were: 11 | P a g e 10832357 π©π©π©π©π©π©ππππππππ ⁄π―π― 10817072 0.1292 10810195 0.1348 10841558 0.1260 ID 0.1305 Anthropometric data from the same study[4] showed π©π©π©π©π©π©ππππππππ ⁄π―π― to be 0.152 for males. Average of the derived values of π©π©π©π©π©π©ππππππππ ⁄π―π― for the 4 subjects is 0.1301. Comparing measured values to that of literature from the anthropometric data sheets, an error of about 14.41% was obtained. Deviations of our derived values when compared to values calculated by [5] Drillis and Contini is due to the use of cadavers, with dismembered body parts. Their measurements were taken to provide a high level of accuracy whereas our measurements were taken on live subjects, with intact body parts. c. Iππ = πππ‘π‘ (ππππ )2 π€π€βππππππ; πππ‘π‘ = ππππππππ ππππ ππππππππππππππ πΌπΌ = Iππ + ππ(π₯π₯)2 ππππ = ππππππππππππ ππππ ππππππππππππππππ = 0.02m π€π€βππππππ; π₯π₯ = πΆπΆπΆπΆπΆπΆ • For 10832357: Iππ = 0.2597(0.02)2 = 0.00010388 πΌπΌ = 0.00010388 + 0.2597(0.0074447)2 = 0.000118273 ππππππ2 • For 10817072: Iππ = 0.4682(0.02)2 = 0.00018728 πΌπΌ = 0.00018728 + 0.4682(0.007146)2 = 0.00021119 ππππππ2 12 | P a g e • For 10810195: Iππ = 0.3856(0.02)2 = 0.00015424 πΌπΌ = 0.00015424 + 0.3856(0.006779)2 = 0.00017195 ππππππ2 • For 10841558: Iππ = 0.4791(0.02)2 = 0.00019164 πΌπΌ = 0.00019164 + 0.4791(0.0067354)2 = 0.000213375 ππππππ2 The derived values varied with the values from anthropometric datasheets with most of the values having an error of less than 94.11%. Implying extremely high inaccuracy (between derived values). This may point to demographic differences between the participants of the anthropometric data population in literature (North America) and that of this paper (Ghana, West Africa). CONCLUSION Body segments parameters were determined through indirect analysis. However, at the end of the lab, participants were able to grasp the methods and techniques used in collecting and analyzing anthropometric data. This includes knowledge regarding the use of stadiometer in measuring height, the digital scale for weight measurement, and the anthropometer for other length measurements. Both obtained closely agreed with the anthropometric datasheet with minimal errors when compared in literature. Other properties such as derived values and the inertia moments when compared with values in literature did not fully correspond. Greater errors were encountered in such areas. This may be due to the use of wrong calibrations, parallax errors, ineffective measuring tools, and the measurement of few arm centimeters. APPENDIX ο Viscoelastic: A material that exhibits both viscous and elastic characteristics when undergoing deformation. ο Protrusion: the quality or state of protruding [6]. 13 | P a g e ο Anatomical position: the position with the body erect with the arms at the sides and palms forward. ο Center of mass: a point representing the mean position of matter in a body or system. REFERENCES [1] “Anthropometry - Definition, History and Applications | Biology Dictionary.” https://biologydictionary.net/anthropometry/ (accessed Apr. 01, 2022). [2] N. Utkualp and I. Ercan, “Anthropometric measurements usage in medical sciences,” Biomed Res. Int., vol. 2015, 2015, doi: 10.1155/2015/404261. [3] “International Encyclopedia of Ergonomics and Human Factors - 3 Volume Set,” Int. Encycl. Ergon. Hum. Factors - 3 Vol. Set, Mar. 2006, doi: 10.1201/9780849375477/INTERNATIONAL-ENCYCLOPEDIA-ERGONOMICSHUMAN-FACTORS-3-VOLUME-SET-INFORMA-HEALTHCARE-WALDEMARKARWOWSKI. [4] W. Rose, “Anthropometry Formulas,” 2009. [5] S. Pheasant and C. M. Haslegrave, “Anthropometric Data,” Bodyspace, pp. 239–279, 2019, doi: 10.1201/9781315375212-10. [6] “Protrusion Definition & Meaning - Merriam-Webster.” https://www.merriamwebster.com/dictionary/protrusion (accessed Apr. 02, 2022). 14 | P a g e