Project
| # | Title | Team Members | TA | Documents | Sponsor |
|---|---|---|---|---|---|
| 89 | Screentime Habit Correction Headband |
Colin Moy Jake Chen Zhiyuan Chen |
Gayatri Chandran | design_document1.pdf proposal1.pdf |
|
| # Screentime Habit Correction Headband Team Members: - Jake Chen (jakezc2) - Colin Moy (colincm2) - Zhiyuan Chen (zc67) # Problem With the majority of people having more and more access to screens, many people spend a large amount of time in front of a desktop computer. After some time, their posture deteriorates into slouching and they can end up sitting too close to the screen. With poor posture, the neck and back can be strained and can be detrimental to long term health. Additionally, when sitting too close to the screen, the eyes can get dry from not blinking enough and get strained. Even if you have good posture and distance, sitting at the screen for too long can also strain your eyes and back. # Solution Our Screentime Habit Correction Headband will allow the user to track their habits during screentime and correct bad habits. By using a headband with two sensors, the device will be able to track the posture of the user based on the calibration done when the device is powered on, as well as the distance between the user and the screen they are looking at. The device will send feedback to the user using vibrations, a speaker, and a LED when the user’s posture deteriorates or they get too close to the screen. In addition, the device will also send feedback to the user if they have been sitting in front of the screen for too long. The headband will be lightweight and will be wired to a box that contains the bulk of the electronics as well as the rechargeable battery for the device. In addition to the physical device, there will also be an app that can track screentime and posture data from the device using Bluetooth. # Solution Components ## Power Our power subsystem will contain a Lithium-Polymer battery with a TP4056 charging module. It will also be able to regulate and step down voltages using an LDO and buck converters and send them to all the other components in the device. Lithium Polymer battery, TP4056, LDL1117-3.3 ## Sensors There are two sensors on the device. The first sensor is the ICM-42670-P, which is an IMU that is able to sense position and orientation in order to tell the MCU to send feedback when the user’s posture is bad. The second sensor is the VL53L0X Time-of-Flight Sensor, which is able to detect the distance from the user to a screen. This sensor will tell the MCU to send feedback when the user is too close to their screen. ICM-42670-P, VL53L0X ## Feedback The feedback subsystem consists of a vibration motor (Mini ERM), speaker (Piezoelectric Buzzer), and two LEDs. There are two cases when the feedback subsystem will activate. One case is when the user is either slouching or too close to the screen. The other case is when the user has been sitting in front of the screen for too long. Each case will have their own dedicated LED, while both cases will activate the vibration motor and speaker. Coin vibration motor, Piezoelectric Buzzer, 2 LEDs ## Processing The processing system consists of the microcontroller. The MCU that we will be using is the ESP32. It will use sensor data as well as its own timer to determine when to send feedback to the user based on time of exposure to a screen, distance to a screen, and posture. The MCU will also manipulate the sensor data so the two cases won’t interfere with each other. In addition, the MCU will have Bluetooth capabilities that will be able to communicate with the app and allow it to track data. ESP32-S3 ## App The app will measure a lot of data from the sensors using Bluetooth. The app will display the time it takes before the user’s posture deteriorates or the screen gets too close to the user, the amount of times this occurs, and the general data such as daily screentime. The app will also have a graph of all these statistics that it can track over the course of a week. ## Design The headband will have a switch that is used to turn the device on and off, with device calibration when switched on. The headband also will only contain the two sensors and the vibration motor, and the headband will be wired to a separate box, meant to be placed on the desk. The box will hold everything else, from the LEDs, speaker, microcontroller, and power subsystem. # Criterion For Success ## Headband: Accurate distance measurements from headband to screen transmitted to stationary module (±0.5 in) Lightweight (weight limit of 100g) Alarm activates when distance to screen is less than 12 inches Alarm activates when IMU detects the user’s head looking down at an angle of over 15 degrees for 3 seconds or when IMU detects it has been lowered by at least 2 inches for 3 seconds Alarm activates when user has been sitting for at least 60 minutes Alarm is turned off when user fixes posture to ±0.5 inches of normal position and is further than 12 inches from the screen Fast calibration for posture (Under 15 seconds) Switch can power the device off and on, as well as calibrate when switched on Device operates for at least 2 hours on a single battery charge ## App: Values displayed on the app match the values output by the microcontroller (average time from initial screen exposure to unsafe screen distance, average time from initially sitting down to bad posture) Previous recorded values can be displayed in a graph ## Box: Battery is chargeable by USB-C |
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