Week

Date

Lecture Topic

Page

Exercises

1

8/28

Introduction and Anthropometry

CN

8/30

Kinematic Data, Coordinate Systems and Transformations

1-25

Homework #1: Anthropometry and Local Coordinate Systems (Due 9/4)

2

9/4

Matrix Methods of Translations and Rotations

25-35

Homework #2: Translations and Rotation Matrices (Due 9/11)

9/6

Matrix Methods of Translations and Rotations Continued

35-45

Representation of segmental data. Global versus local coordinates & transformations

3

9/11

MATLAB programming and Matrix computation(Class in B-69)(Musolino/Cham)

Getting to Know Matlab: a) Matlab Basicsb) Solving Basic Coordinate Systems in MATLABHomework #3: Global to Local Coordinate Transformations (Due 9/18)

9/13

Formulations of Translation and Rotations.(Class in B69)(Musolino/Cham)

Defining translation and rotation matrices in Matlab. (Example: Veeger, et al. 1993, p34)

4

9/18

Matrix Transformations Continued

CN

Formats of Transformation MatrixHomework #4: Transformation Matrices (Due 9/25)

9/20

Transformation Matrix Manipulations(B69)

CN

Coordinate Transformation Transformation Matrix manipulations with actual motion data

5

9/25

Review

CN

Formats of Transformation Matrix

9/27

EXAM 1

6

10/2

Project 1

Data Collection of Human Movement Data Using OPTOTRAK Motion Detection system. (Motion Lab)

10/4

Project 1 data analysis & review for exam(B69)

Analysis of Motion Data captured in the motion analysis laboratory using MATLAB (Project Due 10/11)

7

10/9

Standardization of Reporting Kinematic Data in Biomechanics

CN

ISB Standardization of Human Movement Kinematics Descriptions

10/11

Euler Angles

42-52

Homework #5: Euler Angle Calculations (Due 10/23)

8

10/16

Euler/Cardan Angles

42-52

Applications of Transformation Matrices

10/18

Euler Angles calculations with MATLAB(B69)

CN

Calculations of Euler Angles from Biomechanical Data using MATLAB

9

10/23

Kinematic Chains

103-106

Degrees of Freedom, Position analysis of kinematic chains

10/25

Chain Manipulations with MATLAB(B69)

116-125

Kinematic chain manipulations in Matlab. (Example: van der Helm, et al. 1995, p121)Homework #6: Defining elbow positions (Due 10/9)

10

10/30

Kinematic Chains continued

107-115

Open vs. Closed kinematic chains, Mobility of the Human body, Constraints on human movement

11/1

Project #2

Collection and analysis of kinematic chain data using robotic systemProject #2: Analysis of robotic data (Due 11/13)

11

11/6

Review Robot Chains Project
Introduction to Joint Configurations

 
79-88

 
Clinical reference system, Conversion between different systems

11/8

Joint Configurations Con't

88-103

Clinical, Globographic, Segment Coordinates

12

11/13

Movement Analysis and Data Collection Techniques

Class will meet at the EEI to see a demonstration of electromagnetic system and eye movement system

11/15

Data analysis of electromagnetic data, Review for Exam

13

11/20

EXAM 2

11/22

THANKSGIVING

14

11/27

Special Project: Overview and Details of what is to be done

This will be done at the Human Motion Laboratory. Project groups will be assigned block of time to perform experiment.

11/29

Special Project: Data Collection

15

12/4

Special Project

Meeting in B69 to work on data analysis for project throughout the week.

12/6

Special Project

16

12/11

Final Exam

12/13

BIOE 1720: Biodynamics of Human Movement

Biodynamics is the study of the movement in biologic systems. This course will focus on the analysis of human movement. This discipline is used in clinical and research settings to understand how various pathologies impact movement and how interventions can be implemented to aid those affected by movement disorders. We will cover the fundamentals of biomechanics of human movement using mechanical modelling techniques. The major focus will be on kinematic analyses in three dimensions using matrix techniques.

There are three goals of this course:
1) Understand methods of kinematic analysis used in multi-link systems and be able to implement these methods in the analysis of human movement.
2) Learn the fundamentals of human movement systems, such as gait analysis, eye movement analysis, lifting, sports applications.
3) Develop skills in the computer programming language, MATLAB, which will be used throughout the course to perform computations on kinematic data.

The course will be held in a lecture hall and in the BioInstrumentation Laboratory (B69) when specified. Approximately ½ of the course will be lectures and didactics. The other ½ will be interactive development and implementation of analysis models for kinematic data based on the lectures and the performance of projects that reinforce the material. There will be visits to the Human Movement and Balance Laboratory and the MSRC to collect human movement data and some application to robotics. The last 3 weeks of the course will focus on an in-depth special project that requires data collection, processing and analysis. The special projects will be done in groups of 2 or 3 students, with a report and presentation at the end of the semester.

Text:

Kinematics of Human Motion, Vladamir Zatsiorsky

Requirements:

Undergraduate Bioengineering Junior or with permission of instructor

Grading:

Exam I & II:

15% each

Final Exam:

25%

Project #1:

5%

Project #2:

10%

Homework:

20%

Special Project:

25%

Exams 1 & 2 will be given during class. Special Project will be last 3 weeks of the semester. Homework will be assigned throughout the semester. Late home works will not be accepted. The first 2 projects will be designed to give some hands on work with the principles taught in the lecture.