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Application of Body Sensor Networks (BSN) for Sports Training and Healthcare

Fall 2017, CSIE Room 4201, 15:10~17:00 Thursday

Instructor: Kun-chan Lan
(this course is offered in English)

Nature of this course
A project-oriented course
Problem-based learning
-- Focus on understanding problems first
-- Design and implementation of solutions are equally important 

Objectives

  • We start by introducing problems from various domains
  • Encourage students to brainstorm ideas and propose solutions
  • Demonstrate the effectiveness of solution with a hand-on project

Scope

  • Arduino
  • Android programming
  • Motion Capture
  • Introduction to machine learning 

Prerequisite

  • Some background in Arduino and Android programming, OR
  • have taken my course in last semester “Internet of Thing (IoT): from theory to reality – an open-sourced approach” (從自由軟體到物聯網) 

Lecture Slides

week 3 (10/5) Administration issue
week 4 (10/14) Introduction to Arduino and Rasberry Pi
week 5 (10/19) Tutorial on homework (by Paweeya)
week 6 (10/26) Chi-Gong & Yoga
week 7 (11/2) Tai-chi Chun (I) VDO1, 2, 3, 4, 5, 6
week 8 (11/9) Tai-chi Chun (II) VDO: From the beginning, Today's form
week 9 (11/16 ) Tai-chi Chun (III) 
week 10 (11/23) Tai-chi Chun (IV) VDO1, 2, 3, 4, from beginning
week 11 (11/30) Subject Test & Project proposal presentation
week 12 (12/7) Project discussion (I)
week 13 (12/14) Project discussion (II)
week 14 (12/21) Project discussion (III)
week 15 (12/28) Project discussion (IV)
week 16 (1/4) Project discussion (V)
week 17 (1/11) in-class project demo 

Announcement

Date Content  
2017/9/21 conference travel  
2017/9/28 No class, professor attend the 2017台北國際發明暨技術交易展 in Taipei  
2017/10/18 Yoga section 11.00 -12.00 am at room 65C09,  >>VDO<<  

Instructor

Prof. Kun-chan Lan
Office: new CSIE building 12F 65C05
Office hours: 3-4 pm on Wednesday and Friday, or by appointment via e-mail
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
TEL: +886 6 2757575 ext 62550

TA

Paweeya Raknim 
Office: new CSIE building 5F
Office hours: 2-4 pm on Monday and Tuesday
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
TEL: 06-2757575 ext.62520 (and then another extension 35)

Grading Policy   

Working as a team (70%)
--project proposal (15%)
--Project demo (20%)
--Problem discussion report (10%)
--Project progress report (25%)
Working as an individual (30%)
--Homework Exercise (30%)
Class participation (up to +10%)

Syllabus

week 1 (9/21) conference travel
week 2 (9/28) 國際發明展
week 3 (10/5) Administration issue
week 4 (10/14) Introduction to Arduino and Rasberry Pi
week 5 (10/19) Tutorial on homework (by Paweeya)
week 6 (10/26) Chi-Gong & Yoga
week 7 (11/2) Tai-chi Chun (I) VDO
week 8 (11/9) Tai-chi Chun (II)
week 9 (11/16 ) Tai-chi Chun (III)
week 10 (11/23) Tai-chi Chun (IV)
week 11 (11/30) Subject Test & Project proposal presentation
week 12 (12/7) Project discussion (I)
week 13 (12/14) Project discussion (II)
week 14 (12/21) Project discussion (III)
week 15 (12/28) Project discussion (IV)
week 16 (1/4) Project discussion (V)
week 17 (1/11) in-class project demo 

Term Project

You will need to submit a page project proposal that explains
--What you plan to do
--Why you do it
--How you do it
And present it in-class
**Due 11/20/2017
Demo your project
--In the end of semester, you will demo your project in-class
--Each team has to make 5-min video to demo your project
--The video should be uploaded to youtube in advance
--The project demo will be scored by me and also peer students 

What the demo should look like?
https://www.kickstarter.com/projects/pitouch/pitouch-10-touchscreen-monitor-for-raspberry-pi-ma
Problem discussion
--Submit a report for each guest talk (3 in total) --- 10% of final marks
--Report: Length > 2 pages
Contents
-->A list of problems you discover
-->Your proposed solutions (both in design and implementation)
-->Can be extended to become your term project
Progress report
--5 weeks for project implementation
--A progress report for each week
1.What you’ve done
2.What difficulties you’ve encountered and what are you proposed solutions
3.Plan for the next week