Course title | |||||
人体運動学 [Human Body Dynamics] | |||||
Course category | technology speciality courses | Requirement | Credit | 2 | |
Department | Year | 3~4 | Semester | 3rd | |
Course type | 3rd | Course code | 023579 | ||
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 about 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: xrttbtw |
Expected Learning |
In this class you will learn: - to model the human body dynamics - to write the equation of motion of such a 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 progress. 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 ================================= 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 |
Class code:xrttbtw Class link:https://classroom.google.com/c/MjgzNTYzNTI3NzM0?cjc=xrttbtw |
Remarks 2 |
Related URL |
Lecture Language |
English |
Language Subject |
Last update |
9/8/2021 10:49:45 AM |