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2022　Graduate Methodologies in Education, Welfare and Health S1

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Academic unit or major
Graduate major in Social and Human Sciences
Instructor(s)
Maruyama Takeo 
Class Format
Lecture    (Livestream)
Media-enhanced courses
Day/Period(Room No.)
Thr5-6()  
Group
-
Course number
SHS.D461
Credits
2
Academic year
2022
Offered quarter
1-2Q
Syllabus updated
2022/3/17
Lecture notes updated
-
Language used
Japanese
Access Index

Course description and aims

This course is comprised of two lecture parts. Students must take both parts.
The two lectures cover the following content.

Students in this lecture learn the methodology of motion analysis in the biomechanics field for analyzing human behavior and motion in everyday life and during sport. Biomechanics is an academic discipline that uses mechanics and engineering methods to analyze human exercise and behavior. We research the structure of exercise equipment and the mechanisms for exerting power, as well as how humans move efficiently, following mechanical principles. The main research technique is motion analysis using video. Understanding the research techniques of this field is useful for research activities in the graduate major.
Students in this course will learn about human actions and motion, gaining an understanding of the structure of exercise equipment and the mechanisms of force exertion, acquiring analysis methods using motion analysis equipment as well as data analysis methods, and learning the skills to use data from actual motion analysis practices for analysis.

Students in this lecture learn the measurement method of human information and analyzing method of acquired data in the biomechanics. And then students conduct experiments using various measurement systems and analyze the acquired data to be able to analyze measurement results of human information.

Student learning outcomes

Students will acquire the following knowledge and skills from taking this course.

1) Understanding the structure of exercise equipment and mechanisms of force exertion, and be able to explain the anatomical features of bodies.
2) Understand the devices and principles used for motion analysis, and be able to explain the DLT method.
3) Understanding the methods for kinematically analyzing body movement, and be able to explain analysis methods for joint movement using Euler angles.
4) Understand the methods for dynamically analyzing body movement, and be able to explain analysis methods for joint movement using Newton-Euler method.
5) Understand analysis methods for acquired data, and be able to explain techniques for filter processing.
6) Analyze motion analysis data and be able to organize it into a report.

1) Understand the methods for human information and analysis methods for acquired data.
2) Analyze acquired data and be able to discuss the analyzing results.
3) Organize the analyzing results and be able to present it.

Keywords

<1Q lecture>
Biomechanics, motion analysis, locomotory system, muscular force, anatomy, DLT method, kinematics, kinetics, Euler method, Newton-Euler method, inverse dynamics, digital filter, residual analysis, ground reaction force, body segment parameter, electromyogram, A/D conversion
<2Q lecture>
Measurement of human, Signal processing, Force-plate, Surface EMG, Inertia-sensor, Insole-sensor, Force transducer

Competencies that will be developed

✔ Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow


1) The instructor lectures using slides.
2) At the end of each lecture, students write a short report related to that day's lesson content.
3) In lecture 7, we do a motion analysis exercise and students use that data to write a report.

1) Students conduct measurement experiments.
2) Students analyze measurement data and present analyzing results.
3) At the end of each lecture, students write a short report related to that day's lesson content.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Biomechanics and method of motion analysis Understand study area of biomechanics and method of motion analysis
Class 2 Kinematical motion analysis - Definition of local coordination system on human body - Calculation of joint angle and angular velocity using Euler method Understand definition of local coordination system on human body, calculation of joint angle and angular velocity using Euler method for kinematical motion analysis.
Class 3 Kinetic motion analysis - Definition of human body segments and description of free body diagram - Inverse dynamics using Newton-Euler method Understand definition of human body segments and description of free body diagram, and inverse dynamics using Newton-Euler method for kinetic motion analysis.
Class 4 Motion analysis with image - DLT method - Digital filter Understand DLT method and digital filter for motion analysis with image.
Class 5 Measuring method for kinetic motion analysis - Force platform - Body segment parameter Understand measuring method with force platform and calculation of body segment parameter for kinetic motion analysis.
Class 6 Measuring method and signal processing - Measurement of EMG - Measurement of Acceleration - Analog-Digital conversion Understand measuring method of EMG and acceleration, and Analog-Digital conversion.
Class 7 Experiment of motion analysis Use motion analysis system, and collect data.
Class 8 Measurement of human information and signal processing Understand measuring method of human information and signal processing of data
Class 9 Motion analysis using image data Understand motion analysis method using image data
Class 10 Measurement using force-plate Understand measuring method using force-plate
Class 11 Measurement of surface EMG Understand measuring method of surface EMG
Class 12 Measurement using inertia-sensor Understand measuring method using inertia-sensor
Class 13 Measurement using insole-sensor Understand measuring method using insole-sensor
Class 14 Measurement using force transducer Understand measuring method using force transducer

Out-of-Class Study Time (Preparation and Review)

To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.

Textbook(s)

None required

Reference books, course materials, etc.

All materials used in class can be found on T2SCHOLA.

Assessment criteria and methods

Students are evaluated on whether they understand the lesson content in each class, and whether they can analyze the motion analysis data and create a report.
40％ are given for the short reports in each class, and 60％ for the final report.

Related courses

  • SHS.D441 ： Graduate Lecture in Education, Welfare and Health S1
  • SHS.D442 ： Graduate Lecture in Education, Welfare and Health F1

Prerequisites (i.e., required knowledge, skills, courses, etc.)

None required

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