Course title
人体運動学   [Human Body Dynamics]
Course category technology speciality courses,ets.  Requirement   Credit 2 
Department   Year 34  Semester 3rd 
Course type 3rd  Course code 023536
Instructor(s)
Venture Gentiane   [VENTURE Gentiane]
Facility affiliation Institute of Global Innovation Research Office afjgxte/L1151  Email address

Course description
This class covers the mechanics and dynamics of human body motions.
We will talk of the modeling of the human movements, the measurements and the analysis. Using motion capture technology, equation of motion, and data science (deep learning) we will understand together how the human body moves and how the humans may control their movements.
This class will be mainly online:
Check details on classroom Class code: d5rue3o
Expected Learning
In this class you will learn:
- to model the human body dynamics
- to write the equation of motion of such system
- to measure the human movement and the human dynamics
- to process and analyze the data
- to classify and quantify movement performance
Course schedule
Classes 1-15 are for Japanese students (students willing to learn more are welcome to study until class 22)
Classes 1 to 22 are for exchange students
The below program is tentative and may be adjusted depending on class progresses.
There will be homework once a week.

Class 1: guidance, course content and organization, introduction to human body dynamics

Class 2: refresh on vector and matrix calculations, transformation matrix etc...

Class 3: velocity, acceleration, kinematics and second kinematics, inverse kinematics theory

Class 4: inverse kinematics methods survey

Class 5: motion capture technology practice 1 IMU Photogrammetric Mocap

Class 6: motion capture technology practice 2 Vision based techniques

Class 7: understanding motion capture technology based on deep learning 1

Class 8: understanding motion capture technology based on deep learning 2

Class 9: forces & stability theory

Class 10: forces & stability practice

Class 11: deep learning for force analysis 1

Class 12: deep learning for force analysis 2

Class 13: forces and dynamics theory

Class 14: forces and dynamics practice

Class 15: Evaluation 1

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Class 16: tbd

Class 17: tbd

Class 18: tbd

Class 19: tbd

Class 20: tbd

Class 21: tbd

Class 22: Evaluation 2
Prerequisites
algebra, basic robotics, control, programing
Required Text(s) and Materials
References
Assessment/Grading
Homework: 40%
Evaluations: 40%
Participation, proactivity: 20%
Message from instructor(s)
There is so much to learn from the human body and so much to understand!
Course keywords
Dynamics, equation of motion, muscle, musculoskeletal system, nervous system, control
Office hours
Tuesday 14:00-16:00 with apointment only (online)
Remarks 1
Remarks 2
Related URL
Lecture Language
English
Language Subject
Last update
10/5/2020 11:45:02 AM