The University of Lethbridge

DEPARTMENT OF KINESIOLOGY AND PHYSICAL EDUCATION

KNES4660

Biomechanical Instrumentation and Analysis

FALL 2011 – September 7 – December 9, 2011

INSTRUCTOR:	Dr. Gongbing Shan	E-MAIL:	g.shan@uleth.ca
OFFICE:	PE230	PHONE:	403-329-2683
OFFICE HOURS:	W – 2:00-4:00 pm or by appointment
CLASS TIME:	Tu/Th 10:50-12:05	LAB TIME:	Tu/Th 1:40-2:55 p
CLASSROOM:	PE239	LAB:	PE239
WEB PAGE:		http://home.uleth.ca/~g.shan/Index.htm

COURSE PREREQUISITE:

KNES2200 – Research Methodologies in Physical Activity Involvement; AND KNES3650 – Biomechanics

Equivalent to KNES4850 Instrumentation, Data Collection, Analysis and Interpretation (prior to 2003/2004)

*Note: Those without the course prerequisite will be dropped from the course at the conclusion of the add/drop period. If you do not have the prerequisite it is in your best interest to talk to the instructor about your situation prior to this action so that you are not left one course short for the semester.

COURSE DESCRIPTION:

The aims of this course are a) to introduce ways and methods used in human motion and performance analysis; b) to provide students with the opportunity to utilize the equipments available in the biomechanics lab; and c) to increase students’ application ability through application-orientated mini-projects. The course offers students with the following state-of-the-art instrumentations and data analysis methods: 3D Motion Capture System, 3D Force Platform, EMG system, Fast-Fourier Transformation (FFT, spectrum analysis method) and Artificial Neural Network (ANN, predicting performance utilizing multiple redundant and interactive inputs). Upon completion, the students are expected to have mastered the most high-tech data collection and advanced data analysis methods developed in the field of biomechanics.

COURSE OBJECTIVES:

a. To provide students with an understanding of the principles of three measuring systems: kinematical measurement (3D motion capture system), kinetic measurement (3D force platform) and muscular activity measurement (EMG).

b. To supply students with practice opportunities to get familiar with the measuring systems.

c. To introduce the advanced data analysis methods (FFT & ANN)

d. To enable students to design, conduct and evaluate some motor skills (mini-research projects).

REQUIRED TEXT:

Due to the state-of-the-art equipment utilized, there is currently no available textbook. However, occasional user manuscript & research - paper based materials will be posted on my web page for reference.

STUDENT RESPONSIBILITIES

Kinesiology 4660 will adhere strictly to the policies set down in the University of Lethbridge Calendar. The expectation is that all students have read and understood their rights, privileges, and obligations at the University of Lethbridge. Further, they understand the consequences and processes involved for violation of established rules. Students are expected to have read and understood:

· The fundamental principles of student citizenship (p. 8);

· Academic regulations concerning grading (pp. 67-72);

· Process for the appeal of grades (pp. 73-76);

· Student Discipline Policy a) Academic Offences (pp. 76-78);

· Student Discipline Policy b) Non-Academic Offences (pp. 78-81);

· Other academic regulations: Taping of Lectures to Students with Special Needs (pp. 84-85).

ARTS AND SCIENCE EXAM POLICY

Students are reminded that the University Final Exam Policy states that only in extraordinary circumstances may students request to write an equivalent invigilated Final Examination at other than the scheduled time and place. Students are advised that holiday travel plans do not constitute an extraordinary circumstance.

Note: Students are expected to be present for the in-class tests. Normally final examinations will be held during the regularly scheduled examination period. There may be exceptions. Students should consult their instructor/course outline to confirm examination date.

Miscellaneous Issues

In consideration of your fellow students and overall learning environment, it is expected that cell phones and personal entertainment devices be turned off during lectures. As well, the consumption of meals is often a distraction and should be avoided if it all possible, small snacks are ok. Students are expected to be on time for class. If you plan to use a laptop in class and it becomes apparent that you are not using it for academic purposes and are distracting other students, then I reserve the right to ask you to power down the computer.

STUDENT EVALUATION:

The Department of Kinesiology and Physical Education stipulates that the following grading scale be used:

A+	91.0 – 100	A	86.0 – 90.9	A-	80.0 – 85.9
B+	77.0 – 79.9	B	73.0 – 76.9	B-	70.0 – 72.9
C+	67.0 – 69.9	C	63.0 – 66.9	C-	60.0 – 62.9
D+	55.0 – 59.9	D	50.0 – 54.9
		F	Below 50

Student evaluation will be based upon the following:

ASSIGNMENT	PERCENTAGE
Midterm – Week 10 (November 10^th)	50%
Project Report – Deadline: December 9^th, 2011 – 5:00 pm (delayed submission will receive a 10% deduction per day)	50%
TOTAL	100%

TENTATIVE COURSE SCHEDULE:

Class will consist of principles’ explanation and practice, which are necessary for increasing the application ability.

WEEK	TOPIC
Week 1	Course description and expectations; explanation and discussion of themes.
Week 2	The principles of 3D motion capture.
Week 3	a) Set-up and connections of 3D motion capture system. b) Calibration of 3D motion capture system.
Week 4	a) Issues related to marking subjects. b) Capturing 3D movements of some sport skills.
Week 5	a) Autolabeling and editing trajectories. b) 3D kinematical data (3D trajectories; 3D angles, velocity and acceleration).
Week 6	Practicing 3D motion captures of different sport skills.
Week 7	a) 3D kinematic data presentation and interpretation (1).
Week 8	a) 3D kinematic data presentation and interpretation (2). b) Midterm.
Week 9	a) Kinetic measurement (3D force platform). b) Types of principles of force platform. c) Evaluation and interpretation of force measurement.
Week 10	a) Measurement of muscular activities (EMG). b) Evaluation and interpretation of EMG measurement.
Week 11	Synchronization of Kinematic, kinetic and EMG measurements.
Week 12	Introduction of spectrum analysis method (FFT).
Week 13	Data analysis utilizing FFT.
Week 14	a) Introduction of artificial neural network (ANN). b) Performance prediction utilizing ANN.
LAB REPORT DUE: DEADLINE: December 9^th, 2011 by 5:00 pm