Course title
人体運動学   [Human Body Dynamics]
Course category	technology speciality courses,ets.	Requirement		Credit	2
Department		Year	3～4	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 ================================= 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