Project

# Title Team Members TA Documents Sponsor
20 A mm-Wave Breath Monitoring System for Smart Vehicle Applications
Bowen Song
He Chen
Kangning Li
Keyu Lu
Xuyang Bai design_document1.pdf
final_paper2.pdf
proposal1.pdf
Shurun Tan
# TEAM MEMBERS:
Kangning Li (kl32@illinois.edu 3190110100),

He Chen (hechen4@illinois.edu 3190110853).

Bowen Song (bowen15@illinois.edu 3190110710).

Keyu Lu (keyulu2@illinois.edu 3190110390).

# A MMWAVE BREATH MONITORING SYSTEM FOR SMART VEHICLE APPLICATIONS
# PROBLEM:
With the development of the intelligent automobile industry, radar technology has been applied to automobiles. Common radar applications include optical radar, laser radar, and millimeter wave radar. At present, the technology of outside vehicle radar is highly developed, such as using laser radar to measure distance. But we're focusing more on radar applications inside the car.

Nowadays, many traffic accidents are caused by drivers' fatigue driving. How to detect drivers' breathing state quickly and accurately has become a hot topic. At the same time, the children left in the car is also a problem that urgently needs to be solved. Therefore, we hope to rely on radar technology to realize the breath detection of drivers and children in the car.

# SOLUTION OVERVIEW:
The method we are going to apply is using the millimeter wave sensor to detect the situation inside the car. By processing the data from the radar, we want to achieve breath detection. We choose to use 60G millimeter wave sensor for its harmless to human and it’s allowed to use in China. For signal processing, we can use artificial intelligence or statistical approach. This is partly dependent on how much data we can collect. We plan to finish radar signal processing and self-detection technology in complex and diverse environments. The detections for children of different ages, people under different shielding materials and different postures are our future goals.

# SOLUTION COMPONENTS:
TI-60GHz mmWave Radar Development board: IWR6843ISK-ODS Hardware link and data collection.

A sensor to work on Millimeter wave radar range detection and micro-doppler detection technology.

An algorithm to do radar signal processing and self-detection technology in complex and diverse environments.

An interface to connect the computer software and radar sensor.

AI algorithm or Statistics method which is used to adjust the software and work on the data processing.

# CRITERION FOR SUCCESS:
We expect to produce a vehicle-mounted mmWave radar that will have the following properties:

Reliability: It can work well under variety of environments, including children for different ages, people under different shielding materials, people with different postures, environment with more than one people, people during walking, people during fitness, etc.

Security: It won’t cause any kind of damage to people under any circumstances.

Easy to use: The mmWave Radar system should produce obvious information which is easy for user to get and understand.

Accuracy: The mmWave radar system should produce result with high accuracy, avoid incorrect result caused by various environment distraction.

Efficiency: The speed for our system to produce the information should be fast, which means it should collect the environment and produce in time feedback efficiently.

# DISTRIBUTION OF WORK:
EE Kangning Li, Keyu Lu, He Chen:

Exploit the radar sensor to obtain the data during the lab. Develop and implement the periodic linearly-increasing frequency chirps (known as Frequency-Modulated Continuous Wave (FMCW)). Design the lab steps and organize the structures of the lab. Control the lab environment to meet the standards.

ECE Bowen Song:

Use the signal data to do the signal processing and improve the detection precision. Implement and test the processing system for different targets.

Authentication System for SARS-CoV-2 Management

Jiongfan Chen, Zheyuan Zhang, Zhonghao Zhang, Pengyang Zhou

Featured Project

## MEMBERS

- Pengyang Zhou [pz6]

- Jiongfan Chen [jc47]

- Zheyuan Zhang [zheyuan5]

- Zhonghao Zhang [zz46]

## PROBLEM

Preventing SARS-CoV-2 spread requires managing access to public spaces using a phone app. Scanning QR code at the entrance is inconvenient and leads to crowding. Specifically, access control in some other places requires users to take out their mobile phones and show green or blue codes to verify their identity, which also makes users feel troublesome. How to let the user be able to pass the access control quickly is a huge problem to be solved. On the other hand, the health code observed by the human eye is easy to fabricate. How to improve security is also a big problem.

## SOLUTION OVERVIEW

We plan to design a wearable wristband for users. When passing through the access control, a corresponding RFID detection device can send identity query requests to users' wristbands from a distance, and the users' wristbands will respond to convey users' identity and health information. In addition, the wristband itself will send out a signal every few seconds to interact with other wristbands. This would help to monitor people suspected of being infected.

## SOLUTION COMPONENTS

### Wristband Subsystem:

- Broadcast the user token for other wristbands to record the passers-by.

- Receiver the request for identity from the receiver and send back the user token.

### Inspection Device at Access Control Subsystem:

- Send signals to the wristband and receive the feedback of the user identity information, through the database verification and comparison to determine the health status of the user.

## CRITERION FOR SUCCESS

- The wristband connects the inspection device and carries out information transfer successfully, and interconnects with other wristbands.

- The inspection device and database can verify the identity and health information of the user trying to enter.

- If the wristband is lost, it cannot be used by others.

- The user token is hard to be fabricated.

## DISTRIBUTION OF WORK

- Wireless communication hardware design, setup, and verification - Zhonghao Zhang (EE).

- Design and manufacture of the wristband and inspection device at access control - Jiongfan Chen (ME).

- Build the data center; Encryption and handling of data - Zheyuan Zhang & Pengyang Zhou (ECEs).