Project

# Title Team Members TA Documents Sponsor
28 JargonJolt
Daniel Chamoun
Luke Hartmann
Nan Kang
Angquan Yu design_document1.pdf
final_paper1.pdf
photo1.jfif
photo2.jpg
presentation1.pptx
proposal2.pdf
video
# JargonJolt

Team Members:
- Daniel Chamoun (chamoun2)
- Luke Hartmann (lukegh2)
- Nan Kang (nankang2)

# Problem

When learning a new language, amassing and retaining vocabulary is often one of the most challenging parts of the learning process and can be a choke point for advancing into conversational fluency. It is very easy for people to fall off track when learning a new language/new content, especially in the later stages which can prove detrimental to spaced repetition algorithms. According to an American 2021 study by preply.com, 71% of those surveyed who have given up on learning second languages regret letting their language skills slip. Furthermore, 43% of those people stopped studying due to either a lack of opportunity to practice, boredom, or a perceived high level of difficulty. Our project aims to assist those people to continue their endeavors to learn language.

Flashcard applications that already exist do so primarily as mobile or desktop applications. Desktop applications such as Anki have high functionality, but are not portable and could cause the user to miss days if they do not have access to their PC. Mobile applications require that the user has a smartphone, which is not ideal for certain audiences such as children or elderly. Battery life is also a concern for longer practice sessions.

# Solution

Our solution is the JargonJolt, a digital pet and portable flashcard device that makes consistently practicing your language skills convenient and fun! The JargonJolt will take advantage of the “tamagotchi effect”. Named after the popular toy by Bandai, the tamagotchi effect is the phenomenon of humans becoming emotionally attached to machines, robots, or otherwise inanimate entities. We plan to harness this aspect of human psychology to encourage people to keep up with their daily language review and practice. Nurturing/playing with a digital pet who gets happier as you do better in your flashcard reviews will keep flashcard users more engaged during their reviews as well as more consistent.

Users of the JargonJolt will be able to download Anki flashcard sets, where we will make use of spaced repetition algorithms to show users flashcards in optimal order for memory and knowledge retention. The JargonJolt will feature a low power digital ink screen for displaying both flashcards and the digital pet as well as several buttons for selecting options for responding to flashcards. Applications of similar functionality may exist as smartphone apps, but the JargonJolt has unique advantages that give it cause to exist as a product. The simplicity and toy-like nature of the JargonJolt makes it ideal for children who are not ready for a smartphone or tablet. A rechargeable battery will also allow users to take their JargonJolt on the go without worrying about the battery life of their mobile devices or the cell reception in any given area.

# Solution Components

## Subsystem 1: MCU/PCB Support/Internet Module

The ESP32 will run code to determine which flashcard to show the user, process the user’s button inputs, and change the digital ink display to show both flashcards and the status of the pet. The ESP32 will interface with the memory module to retrieve flashcard data. The MCU module will also contain serial programming pins for flashing the microcontroller. The internet module will be able to connect to the internet to download flashcard data, which will be stored in the memory module.

ESP32 (Mfr. Part #ESP32-S3-WROOM-1-N16)

## Subsystem 2: Power

The JargonJolt will feature a rechargeable battery and a Micro USB-B charging port. The battery supplies a 3v7 rail which will be regulated down to 3v3 by a linear voltage regulator. All electronics down the line (MCU, E-INK, etc.) will run on 3v3. The power module will also contain a barrel jack for tabletop testing before the battery is integrated.

3.7V 1000mAh Lithium Battery (Mfr. Part # ASR00012)

Battery Charger (Mfr. Part # ASL2112)

Linear Voltage Regulator (Mfr. Part # ADP160AUJZ-3.3-R7)

## Subsystem 3: Video

The video subsystem is used for flashcards and the digital pet display. It consists of two low power digital screens, 4.37inch, 512 × 368 resolution, communicating via SPI interface.

2 x 4.37inch E-Paper (G) raw display, 512 × 368, Red/Yellow/Black/White

## Subsystem 4: Memory

The memory module contains external SRAM which will be used to store the flashcard data, allowing the JargonJolt to operate entirely offline once flashcards are downloaded. The microcontroller will interface with the SRAM through an SPI interface.

32Mb, SerialRAM, 2.7V-3.6V (Mfr Part #: IS66WVS4M8BLL-104NLI)

## Subsystem 5: Audio

Having audio support from text on the cards also makes sense to implement. Using I2S protocols, upon showing the answer to a flashcard, audio will also play. The audio data will be stored on SDRAM.

I2S Amplifier (Mfr Part #: MAX98357 I2S)

Speaker (Mfr Part #: CMS-4017-34SP)

# Criterion For Success

Functionality:
- Syncing data between Anki for Desktop app with JargonJolt and vice versa
- Buttons for answering flashcards
- Algorithm for choosing currently displayed flashcard

Display Functionality:
- Upon receiving data from the MCU, successfully display flashcard information
- Display a digital pet based on performance metrics

USB charging capabilities:
- Reasonable battery life using low-power components

Dynamic Legged Robot

Joseph Byrnes, Kanyon Edvall, Ahsan Qureshi

Featured Project

We plan to create a dynamic robot with one to two legs stabilized in one or two dimensions in order to demonstrate jumping and forward/backward walking. This project will demonstrate the feasibility of inexpensive walking robots and provide the starting point for a novel quadrupedal robot. We will write a hybrid position-force task space controller for each leg. We will use a modified version of the ODrive open source motor controller to control the torque of the joints. The joints will be driven with high torque off-the-shelf brushless DC motors. We will use high precision magnetic encoders such as the AS5048A to read the angles of each joint. The inverse dynamics calculations and system controller will run on a TI F28335 processor.

We feel that this project appropriately brings together knowledge from our previous coursework as well as our extracurricular, research, and professional experiences. It allows each one of us to apply our strengths to an exciting and novel project. We plan to use the legs, software, and simulation that we develop in this class to create a fully functional quadruped in the future and release our work so that others can build off of our project. This project will be very time intensive but we are very passionate about this project and confident that we are up for the challenge.

While dynamically stable quadrupeds exist— Boston Dynamics’ Spot mini, Unitree’s Laikago, Ghost Robotics’ Vision, etc— all of these robots use custom motors and/or proprietary control algorithms which are not conducive to the increase of legged robotics development. With a well documented affordable quadruped platform we believe more engineers will be motivated and able to contribute to development of legged robotics.

More specifics detailed here:

https://courses.engr.illinois.edu/ece445/pace/view-topic.asp?id=30338

Project Videos