Project

# Title Team Members TA Documents Sponsor
95 Chair-Mounted Anti-Sedentary Detection System with Enforced Movement Clearing
Chris Huang
Jack Gaw
Melissa Wang
Weijie Liang proposal1.pdf
# Team Members:
- Chris Huang (zexih2)
- Melissa Wang (wang569)
- Jack Gaw (jgaw3)

# Problem

Students and office workers often spend long periods sitting at their desks, which can negatively affect physical health, focus, and productivity. Many existing reminder systems, such as phone notifications or simple alarms, are easy to ignore or turn off without actually getting up. As a result, these systems do not effectively reduce prolonged sitting. There is a need for a system that not only detects extended sitting, but also encourages users to physically get up and move in a simple and practical way.

# Solution

We propose a chair-mounted system that monitors how long a user has been sitting and triggers an alarm after a configurable time threshold. A pressure-based sensor detects whether the user is seated and tracks continuous sitting time. When the sitting time exceeds the threshold, an alarm is activated and cannot be dismissed while the user is still seated.

After the user stands up, the system switches to a movement detection mode. All sensors are mounted directly on the chair, and no wearable devices are required. Movement near the chair is detected using vibration and inertial sensors mounted on the chair frame or legs. The alarm is cleared only after the system detects enough movement consistent with short-distance walking. The system is implemented using a simple state-machine-based embedded design and is divided into multiple subsystems, including seat detection, movement detection, user feedback, and a main controller.

# Solution Components

## Subsystem 1: Seat Occupancy Detection

This subsystem determines whether a user is sitting on the chair and measures how long the user remains seated. The signal is filtered to reduce noise and prevent false transitions.

Components:
- Force-sensitive resistor (FSR-402) mounted under the seat cushion, or
- Load cell sensors mounted under the chair supports
- HX711 load cell amplifier (for load cell configuration)
- Basic signal conditioning resistors

## Subsystem 2: Chair-Mounted Movement Detection

This subsystem checks whether the user has stood up and moved around near the chair. Sensors are mounted on the chair structure to detect vibrations and motion caused by footsteps. This approach is chosen for simplicity and ease of use, even though it is less precise than wearable step counters.

Components:
- Piezo vibration sensors mounted on chair legs or base
- Optional MPU-6050 IMU mounted on the chair frame
- Analog and I2C connections to the controller

## Subsystem 3: Alarm and User Interface

This subsystem provides feedback to the user and allows basic interaction with the system.

Components:
- Active piezo buzzer
- LEDs for status indication
- Push buttons for configuration and reset
- Optional small OLED display

## Subsystem 4: Main Controller and Power

The main controller coordinates all subsystems, runs the state machine, and controls alarm behavior. All electronics are mounted on the chair and powered locally.

Components:
- ESP32 microcontroller
- USB 5V power supply or rechargeable battery
- Wiring and mounting hardware

# Criterion For Success

1. The system correctly detects whether the user is seated or not during repeated sit and stand actions.
2. The alarm activates within a few seconds of the configured sitting-time threshold.
3. The alarm cannot be permanently turned off while the user remains seated.
4. After standing up, the alarm is cleared only after sufficient movement near the chair is detected.
5. Simple actions such as tapping or shaking the chair while seated do not clear the alarm.
6. The system can successfully complete multiple full cycles of sitting, alarm triggering, movement detection, and reset without failure.

Electronic Replacement for COVID-19 Building Monitors @ UIUC

Patrick McBrayer, Zewen Rao, Yijie Zhang

Featured Project

Team Members: Patrick McBrayer, Yijie Zhang, Zewen Rao

Problem Statement:

Students who volunteer to monitor buildings at UIUC are at increased risk of contracting COVID-19 itself, and passing it on to others before they are aware of the infection. Due to this, I propose a project that would create a technological solution to this issue using physical 2-factor authentication through the “airlock” style doorways we have at ECEB and across campus.

Solution Overview:

As we do not have access to the backend of the Safer Illinois application, or the ability to use campus buildings as a workspace for our project, we will be designing a proof of concept 2FA system for UIUC building access. Our solution would be composed of two main subsystems, one that allows initial entry into the “airlock” portion of the building using a scannable QR code, and the other that detects the number of people that entered the space, to determine whether or not the user will be granted access to the interior of the building.

Solution Components:

Subsystem #1: Initial Detection of Building Access

- QR/barcode scanner capable of reading the code presented by the user, that tells the system whether that person has been granted or denied building access. (An example of this type of sensor: (https://www.amazon.com/Barcode-Reading-Scanner-Electronic-Connector/dp/B082B8SVB2/ref=sr_1_11?dchild=1&keywords=gm65+scanner&qid=1595651995&sr=8-11)

- QR code generator using C++/Python to support the QR code scanner.

- Microcontroller to receive the information from the QR code reader and decode the information, then decide whether to unlock the door, or keep it shut. (The microcontroller would also need an internal timer, as we plan on encoding a lifespan into the QR code, therefore making them unusable after 4 days).

- LED Light to indicate to the user whether or not access was granted.

- Electronic locking mechanism to open both sets of doors.

Subsystem #2: Airlock Authentication of a Single User

- 2 aligned sensors ( one tx and other is rx) on the bottom of the door that counts the number of people crossing a certain line. (possibly considering two sets of these, so the person could not jump over, or move under the sensors. Most likely having the second set around the middle of the door frame.

- Microcontroller to decode the information provided by the door sensors, and then determine the number of people who have entered the space. Based on this information we can either grant or deny access to the interior building.

- LED Light to indicate to the user if they have been granted access.

- Possibly a speaker at this stage as well, to tell the user the reason they have not been granted access, and letting them know the

incident has been reported if they attempted to let someone into the building.

Criterion of Success:

- Our system generates valid QR codes that can be read by our scanner, and the data encoded such as lifespan of the code and building access is transmitted to the microcontroller.

- Our 2FA detection of multiple entries into the space works across a wide range of users. This includes users bound to wheelchairs, and a wide range of heights and body sizes.