Lectures :: ECE 445 - Senior Design Laboratory

Lectures

Spring 2023 Lecture Material:

 

Lecture #1:

(February 17, 2023)

 

 

Getting Started

  • Welcome to the class! (pptx, pdf)

 

 

Pre-Lecture #2:

(before February 24, 2023)

 

 

Beyond Ideation

 

 

Lecture #2:


(February 24, 2023)

 

 

Moving Forward

  • RFA, Proposal, High-Level Requirements, R&V Tables, and Block Diagram details (Slides)

 

Pre-Lecture #3:


(before March 3, 2023)

 

 

Design and Writing Tips

 

 

Lecture #3:


(March 3, 2023)

 

 

Last stop before the Proposal

  • Introduction (pptx)
  • Proposal Details (pptx)
  • Proposal Logistics (pptx)
  • Lab Notebooks (pptx)

 

Pre-Lecture #4:


(before March 10, 2023)

 

 

PCB Exercise Tips

  • Modular Design & Circuit Debugging (pdf)
  • Why PCB Exercise? (pptx)

 

Lecture #4:


(March 10, 2023)

 

 

Intellectual Property

  • Patents - Henry Wang, President IPwe
  • Weekly Meetings Info (pptx)
  • Proposal Q&A

Spring 2020 Video Lectures:

Brainstorming

Finding a Problem (Video)
Generating Solutions (Video)
Diving Deeper (Video)
Voting (Video)
Reverse Brainstorming (Video)
Homework for Everyone (Video)

Important Information

Using the ECE 445 Website (Video)
Lab Notebook (Video , Slides)
Modular Design (Video, Slides)
Circuit Tips and Debugging (Video , Slides)
Spring 2018 IEEE Soldering Workshop (Slides)

Major Assignments and Milestones

Request for Approval (Video, Slides)
Project Proposal (Video, slides)
Design Document (Video, slides)
Design Review (Video, slides)
Writing Tips (Video, slides)

Robot for Gym Exercise Guidance

Zifei Han, Dalei Jiang, Kunle Li, Chang Liu

Featured Project

TEAM MEMBERS

Dalei Jiang (daleij2)

Zifei Han (zifeih2)

Chang Liu (changl12)

Kunle Li (kunleli2)

PROJECT TITLE

Robot for Gym Exercise Guidance

PROBLEM

In modern society, daily fitness is a necessary life choice for healthy people. When it comes to fitness, the standard of movement is very important. However, hiring a coach exclusively for instruction is sometimes not a convenient and economical option. We think robots are perfectly capable of determining whether a person's movements are in place. To this end, we need to propose a scheme to design a robot that can walk behind people and use certain technologies to identify human movements when people are moving, compare with the existing action models, and give an evaluation.

SOLUTION OVERVIEW

Our solution is to design a robot that included a chassis that drove the motion on the bottom and a computer operating system and camera on the top. With ultrasonic radar and cameras, the robot can follow the target. When the "motion assessment" module starts to operate, the camera will capture video information and begin motion analysis at the same time. The analysis of human motion will be completed as soon as possible and the standard evaluation of motion will be given. At the same time, we will design some multimedia files, such as sound and video, to interact with the user.

SOLUTION COMPONENTS

Based on the introduction above, several systems need to be implemented to realize the solution.

SUBSYSTEM 1: BOTTOM MOBILE PLATFORM PROGRAMMING

We plan to take use of the EAI SMART robot platform as the base movement platform of the robot. We will do the programming based on the ROS system to realize automatic navigation, path planning, and object tracking.

SUBSYSTEM 2: SKELETAL BINDING AND MOVEMENT ANALYSIS OF THE HUMAN BODY

The most important part of this program is that we will use the Mask R-CNN to do the skeletal binding to determine the human's movement. We will try to train an efficient model to help us realize fast analysis.

SUBSYSTEM 3: MAN-MACHINE INTERACTIVE SYSTEM

As a user-oriented product, we need to design a friendly human-computer interface to realize the free conversion of functions.

SUBSYSTEM 4: MOVEMENT STANDARD ALGORITHM

We need to devise an algorithm to assess the deviation between the gymnast's movements and the standard. This algorithm is very important for the final product performance feedback.

CRITERION FOR SUCCESS

The robot can self-navigate to find people in the gym.

The robot can monitor the person doing exercise and extract human poses.

The robot can check whether the person is doing correctly in the exercise.

DISTRIBUTION OF WORK

Dalei Jiang: Skeletal binding and movement analysis of the human body

Zifei Han: Bottom mobile platform programming

Chang Liu: Man-machine interactive system building

Kunle Li: Movement standard algorithm designing