H-L-3 Biomechanics case study

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1 H-L-3 Biomechanics case study The Modelling Team Faculty of Industrial Design Engineering Delft University of Technology 1

2 Table of Contents Digital Human Model A case study 01. The Solidworks Model 02. Data Source Tracker Summary Contents 01. Basic functions 02. Tracking movements 1 This is not a complete case study (Demo only) 2 The main purpose: How to use the tools 2

3 Case brief Case brief To explore how much torque a person applied on his/her shoulder joint in an abduction movement. Courtesy of 3

4 Analysis System Forearm Upper arm Hand + Weight Shoulder joint 4

5 Modelling - Sketch

6 Modelling - Model , 4, 5 Measurement (individual) or Digital human model 1 1, 2, 3, 1, 3 Body mass segments 2 Tracker 3 6

7 The digital human Model 7

8 The model - Components Romp (trunk) Hoofd (head) 2* Bovenarm (forearm) 2* Onderarm (lower arm) 2* Hand 2* Bovenbeen (upper leg) 2* Onderbeen (lower leg) 2* Voet (foot) 8

9 The model A design table driven DHM: Assembly MV1200-MV2100: Pre-defined Size: For your inputs 9

10 For an individual part A design table driven DHM: Part MV1200-MV2100: Pre-defined Size: For your inputs 10

11 The source of data dined.io.tudelft.nl/dined/ 11

12 A simplified version The excel file Check the validity of your Attention: 1. It is simplification of DINED data; model 2. It is a linear approximation, the most accurate region is 1473mm~1981mm 12

13 How to setup customized data The excel file (each part) Usage 1. Input the desired stature in the blue Region of excel 2. Copy the data of size to the design table of each part, respectively (use paste values option). The design table of a component in Solidworks 13

14 Sizing - Customize You must modify each components Input the desired stature in the excel Copy data regarding the component here Using Size 14

15 Direct Sizing In Assembly MV-1200 MV-1700 MV-1800 MV-1900 MV-2000 MV-2100 Attention: The validity of your model 15

16 Pose Using mouse drag & move a part 16

17 Measurement 1. Click - Tab Evaluate 2. Click - Button Measure 3. Click - The items to be measured 4. The measurements are presented 17

18 Measuring length Upper arm length meter 18

19 Measuring length Forearm length meter 19

20 Measuring length From wrist to center of the hand 0.07 meter 20

21 Body mass segments 21

22 Centre of gravity (c.g.) of body segments Proximal side Distal side 22

Mass of body segment Following Biomechanics and Motor Control of Human Movement Segment Segment Total Body Weight Centre of Mass Segment length Proximal Centre of Mass Segment length Distal Hand 0.

23 Mass of body segment Following Biomechanics and Motor Control of Human Movement Segment Segment Total Body Weight Centre of Mass Segment length Proximal Centre of Mass Segment length Distal Hand Forearm Upper arm F'arm+hand Upper limb Foot Shank Thigh Foot + shank Lower Limb Head, neck, trunk Head, neck, arms, trunk Head and neck Ref. 23

24 Mass of body segment by Zatsiorskji and Selujanov (1979), based on athlete's data Mass of the segment (kg) Coefficient + + Mass (kg) Height (cm) Segment name B 0 [kg] B 1 B 2 [kg/cm] Head+neck Hand Forearm Upperarm Leg Shank Thigh Trunk Upper part of the trunk Middle part of the trunk Lower part of the trunk Courtesy of 24

Take a simple approach Upper arm M1= 60 * 0.028 = 1.

25 Take a simple approach Upper arm M1= 60 * = 1.68 Forearm If the mass of the person is 60kg M2 = 60 * = 0.96 Hand M3 = 60 * =

26 Gravity center 26

27 The tracker 27

28 Tracker Tracker The Tracker is a free video analysis and modeling tool built on the Open Source Physics(OSP) Java framework. It is designed to be used in physics education Extract position (angle), velocity (angular) and acceleration (angular) of an object in the video 28

29 Tracker Download 29

30 Basic interface 30

Prepare a video for Tracker Background Uniform & different from the subject Origin marker Increase the contrast Camera range: Enough room to cover the

31 Prepare a video for Tracker Background Uniform & different from the subject Origin marker Increase the contrast Camera range: Enough room to cover the movements Camera direction: Perpendicular Frame rate: At least 24p Resolution: as high as possible The dumbbell You can also use marker to increase the contrast 31

32 Procedure Tracker Import video Set desired video span Setup origin Setup point mass Open Or Drag video in Tracker Export data 32

33 Procedure Tracker Import video Set desired video span Setup origin Mouse click Setup point mass Export data 33

34 Procedure 1. Mouse click Tracker Import video Set desired video span Setup origin Setup point mass Export data 2. Mouse click 34

35 Procedure Tracker Import video Set desired video span Y θ X Setup origin Setup point mass Export data 35

36 Procedure Tracker Mouse click Import video Set desired video span Setup origin Setup point mass Export data 36

37 Procedure Tracker Import video Set desired video span Setup origin Setup point mass Fixed Or Dynamic (Demo is dynamic) Export data 37

38 Procedure Mouse click Tracker Import video Set desired video span Setup origin Setup point mass Export data 38

39 Procedure Tracker Import video Set desired video span Setup origin Setup point mass CTRL+SHIFT+Mouse click Export data 39

40 Procedure Mouse click Tracker Import video Set desired video span Setup origin Setup point mass Export data 40

41 Procedure Tracker Import video Set desired video span Setup origin Setup point mass Export data 41

42 Procedure Tracker Import video Set desired video span Mouse click for acccelerations Setup origin Setup point mass Export data 42

43 The calculation 43

44 The result Calculation Change model to a function Input anthropometric & biomechanics data Input data from tracker (angle, angular velocity & acceleration) Plot 44

45 The result Calculation Change model to a function 45

46 The result Calculation Change model to a function Input anthropometric & biomechanics data Input data from tracker (angle, angular velocity & acceleration) Plot 46

47 The result Calculation Change model to a function Input anthropometric & biomechanics data Column by column copy your excel data to arrays in Maple Input data from tracker (angle, angular velocity & acceleration) Plot 47

48 The result Angular acceleration Calculation Angular velocity Change model to a function Input anthropometric & biomechanics data Input data from tracker (angle, angular velocity & acceleration) Plot Torque Angle 48

49 H-A-1 assignments 49

H-A-1-F H-A-1-F In the new set of dumbbells,

weight and training positions in the manual.

to explore the relations between the mass of

the torques applied on the elbow joints and

50 H-A-1-F H-A-1-F In the new set of dumbbells, CAP Barbell want to specify the optimal weight and training positions in the manual. For this, they have asked you to help them to explore the relations between the mass of the dumbbells, the maximum angular velocity, the torques applied on the elbow joints and the start position (angle) as in the figure. 50

51 Think Target group Model Improvements 51

52 Report Logical: Grading Criteria Abstract Model with Maple file (appendix?) Experiment and its contribution in Modelling Conclusions & recommendations Introduction Problem Definition Evaluation Optimization (possible new advices?) 52

53 Success! The Modelling Team Faculty of Industrial Design Engineering Delft University of Technology 53

INPUT PARAMETERS FOR MODELS I

9A-1 INPUT PARAMETERS FOR MODELS I Lecture Overview Equations of motion Estimation of muscle forces Required model parameters Body segment inertial parameters Muscle moment arms and length Osteometric