STEM Project Showcase 2016

Hi All,

The STEM Project Showcase is finally done! You might feel a sense of relief and, also, a sense of achievement! YES. Congratulations! You all have put together an AWESOME presentation! I believe that you shared the same excitement as me! Like most of the real-world engineering or research projects, there are always tons of hard works and numerous failures before the final publications or product releases. At times. it can be a lonely and frustrating journey. However, the results will be super sweet if you survive. I wish the STEM experience you have this year will become your assets for the years to come! After the showcase yesterday, Gaby said that "This is our last STEM class!". Until then, I started to realize that we won't have STEM classes together anymore :( However, for the graduating seniors, it means that you will be starting to tackle much larger, harder, real-world problems! Good luck in all your "new projects"! Don't forget to come back and share your new problems, experiences, and solutions!

An introduction video for our STEM challenges, dreams, actions, difficulties, and teams.

Room 201 is packed with curious audience. Students, parents, teachers, administrators, and a college professor all came to participate and support our event.

Sarah and Brain showed how OpenVIBE can be used to capture, process, analyze and classify brainwaves and translate them into mental commands to control games.

Owen and Theo described their journey through solving the autonomous drone navigation problem, and demonstrated a video of a line-following drone. 

Henry and Eduardo shared their game for autistic children. They introduce dialogue and relation building into the game. The game is designed in a non-exclusive way such that all players can enjoy the fun.

Isabelle explained how EEG signals can reveal our mental status. She introduced the new EEG headset, and the process to develop an App to acquire and process brainwaves.

Adnan integrated his understanding about compound eyes, object tracking, and machine learning to solve the drone tracking problem. He demonstrated a compound-eye frame of multiple cameras, and the results of his algorithms.

Ty and Noah discussed the new trend, machine learning, in artificial intelligence. They explained how perceptron and mutilayer perceptron can be used to solve classification problems.

Julian and Lithu investigated the possibility to conduct Hand-to-Hand communication through EMG and TENS signals. They performed gesture recognition by analyzing and classifying EMG signals.

Kate and Leslie demonstrated how to use XCode and OpenCV library to create an iPad app that can recognize subway signs (numbers) and help the visually impaired users navigate through the subway stations.

Gaby and Lola shared their experiences of developing apps with haptic feedback on Senseg tablet for the visually impaired children to comprehend graphical information in subjects like math and geography.

Aaron and Vivian illustrated the steps to design and develop multipixel tactile display based on electrovibration. It's a unique hardware project that involves many equipment, components, materials, and chemicals.

Preparation for the STEM Project Showcase 2016

Hi All,

In coming Tuesday's class and after school (06/07) we are going to have our final rehearsal. Each group should be well prepared to deliver your presentation. YOU HAVE TO SEND ME YOUR PRESENTATION BY SUNDAY NIGHT FOR INITIAL REVIEW. MODIFY AND RESEND IT TO ME BY MONDAY NIGHT FOR FINAL CONSOLIDATION. A few important guidelines are listed below for your reference.

1. Your audience may cover a wide spectrum including administration, teachers, college professors, parents, friends, STEM students of next year, and students with general interests in STEM. Be prepared to address their needs.
2. The show should be focusing on the demonstration of your results/solutions to the problems you want to solve. However, you should also concisely explain the methods you adopted to attack the problems. You should also prepare to answer questions about any aspect of your project. Questions can be general or very technical.
3. You should not be afraid to touch in depth of your technical know-how, but, at the same time, present them in a easy-accessible ways.
4. The presentation should be balanced between descriptions and demonstrations. Remember, it's not a class; it's a show! Physical demos, live illustrations, videos, or even interactions with audience are powerful way to convey the messages. Creative demonstration is very important for communication.
5. Even though it's a show, it's a tech show, you only say what you know. Every thing you present should be technically sound.
6. If you have not achieved your final goals, you can still present/demonstrate your results/solutions of different stages of the project.
7. Every group member's role and timing should be well planned and rehearsed.
8. Dress code in the show should be at least business casual. Prepare for it.

 Good luck!

Mr. Lin

STEM Hackathon II

Hi All,

We are going to have our second STEM Hackathon form 9:00 am to 4:00 pm this Saturday (tomorrow, April 9). Though some of you will be attending college Admitted Students' Day or be traveling to visit your candidate colleges, you can still work on your projects over the weekend to catch up some progresses.

In addition, I have invited the Machine Learning Research Group (an after school activity) to join us the same day to have a Machine Learning Workshop. Some of them may become the Advanced STEM Research students next year. Please feel free to explain or demonstrate your projects to them as they approach you.

Since there will be ACT administrated in our school tomorrow, please be mindful when you come to school, and please go to RM 201 directly. Since people are expected to come in at various time due to other commitments, please start working on your own projects immediately whenever you come. We will have a "whole group" meeting later in the day when more people arrive.  If you will be late, please email Mr. Lin such that we can arrange lunch for you. I am looking forward to seeing you tomorrow!

STEM Seminar 3/29 Abstracts

STEM Team 8: Educational Apps

Our team’s goal for this presentation is to explain to the audience the process of getting haptic feedback on the Senseg tablet. Hopefully, after listening to us, you will be able to understand the concept and how to use the Senseg SDK, as well as integrate it to Android Studio. We will also quickly cover the methods provided with the SDK, different superclasses and subclasses that allow us to use the feedback in our advantage.

STEM Team 4: OpenVIBE

In this seminar, we will go over some of the stages of running a successful BCI scenario:       Data Acquisition. This involves connecting the headset to the OpenVibe Acquisition server.      Preprocessing and feature extraction. This involves building an OpenVibe scenario to filter the acquired data, isolate noise, and extract the desired features. Our presentation will feature and explain some OpenVibe boxes we used in the process of building our scenario, like temporal filter, time based epoching, and simple dsp.      Classification. This involves using classification algorithms to assign a specific class to each data point. Our presentation will further explain the distinction between this step and preprocessing. We will also explain how offline training is used to fine-tune an algorithm and acquaint it with the data to ensure more precise classification. The algorithm we will feature is SVM (support vector machine).   Our presentation will conclude with a demonstration of an OpenVibe scenario we've built incorporating the above elements. Our scenario is a Virtual reality handball game, where the user thinks "right" or "left" to throw the ball and score.

STEM Team 6: Electroencephalography (EEG)

Electroencephalography provides a new method for insight into the way we, as humans, work. It is the study of brain waves and the different ways this data is received. This EEG technology has existed for 80 years, yet only recently is it being fully taken advantage of for it’s commercial uses. This presentation will explore the new, innovative applications of EEG in everyday life, recent develops in the tech, and what this means for the future.

STEM Team 10: Multipixel Display  

Innovative technology has been advancing since the Industrial Revolution, and one of those categories:  haptics engineering, which benefits the general public for making technology more convenient. In our presentation, we will be discussing how to create a display screen with printable circuit boards. PCBs are a cheap and effective technology. A PCB is a circuit board that is copper clad. The copper is etched away so that all that is left is a circuit. In our project we will be using PCBs to create the board that people will feel. We are using PCBs because of their various benefits. First, they are cost effective. Second, they allow us to easily produce many different circuit layouts displaying different shapes. In addition, the materials needed are easily accessible to us. Each tactile pixel will be 1mm by 1 mm. An important part of the process is determining the trace width. If the lines are too thick, it will defeat the illusion. But, if the lines are too thin, they will be unable to carry the correct charge. The most important part of this project will be testing and fixing our project if it fails to perform correctly.

STEM Team 3: Video Games for Autistic Children

Team 3 is focused on the creation of a videogame that integrates the functions of a standard game with functions designed to teach autistic children basic social skills through AI - Human interaction. The task here is to fluently teach social skills through “experiences”. Our thinking is that the user will be able to develop a relationship with their in-game “companion”. Once the game itself is completed, human testing would need to be done to test effectiveness as well as receive feedback from the users. We’ve outlined our proposed method of this in our presentation. What’s left to be added to the game is character name selection, character customization, companion selection, fixed companion animations, companion-user dialogue, and sound effects. We’ve only just added the companion and started working on the story/dialogue. However, by the end of the year we believe we will have a working game ready to be tested on users.

 
STEM Team 1: Autonomous Drone Navigation System in Indoor Environment 

After working with the front camera and realizing that it will not work, we have decided to switch methods. Now, we are using the bottom camera to recognize markers and lines that we place on the floor. Since the drone will not be flying that high, the image recognizing program will be more accurate. We will be explaining why our old method eventually failed, how our new method works, and why we have chosen the strategy that we did. We are still able to use most of the code from the old program since we are still trying to recognize colors that the camera sees.

STEM Seminar 3/24 Abstract

STEM Team 9: What is Hough Circle Transform and How does it Work?

We will be talking about the OpenCV function, "HoughCircles" and how it pertains to our project. We will inform our classmates on the essential function of HoughCircles and how the algorithm works to provide computer vision applications with circle detection. Additionally, we will briefly talk about our experience with HoughCircles and the difficulties we have encountered so far. We will briefly show how we have included the algorithm in our code. Our focus will mainly be placed on how the function will help us in developing our application in addition to explaining the algorithm to those unfamiliar to it. A draft of our first slide is shown below. 

STEM Team 2: Drone Defense System: Vision System

Team 2 is focused on the creation of a drone defense system. The task is to spot an unidentified drone, track its movements, and then take it down with an autonomous system. With the increased use of drones now and in the future, it is imperative to make such systems to protect property from irresponsible drone use. The drone defense system was divided into the vision system, which is concentrated on the tracking and drone detection, and the interception system, which is concentrated on the drone incapacitation. As the project evolved, however, the focus shifted towards only the vision system and the goal became to successfully and efficiently detect and track the drone. The main aspect of the detection system that was to differentiate me from previous systems was my use of the compound eye and machine learning. The compound eye, such as the eye of a flying insect, is comprised of many facets that are each able to capture a different image. The compound eye does not need to move like single aperture eyes such as those of humans because each of the facets are angled so all the captured images form a single spherical image. To capture images of the drone, my detection system’s camera will be simulating these capturing methods of a compound eye. Machine learning pertains to an artificial intelligence that is able learn on its own without the need for programming. Specifically, I am using a multilayer perceptron that organizes and maps input data to appropriate outputs. The multilayer perceptron will be used with the regression method, enabling me to predict the drone’s location in three-dimensional space based on a pre-recorded data set of the drone’s position. Ultimately, with these implementations, I hope to create an innovative system that contributes to the overall STEM field of object detection. 

STEM Team 7: Hand-to-Hand Communication

The purpose of our project, Hand-to-Hand Communication, is to use EMG signals within our arms to mimic movements on another individual/robotic arm. Today, we will demonstrate how we take raw data and process it. We find the highest values, the peaks for each muscle movement, using a code, and then graph those values. This process is repeated with other muscles, in the attempt of finding a pattern

STEM Seminar 3/24 & 3/29

We are going to have our next STEM Seminar this coming Thursday (3/24) and next Tuesday (3/29). Each group should prepare to present a key topic of your research field in depth based on both your study and research experience. The presentation should be no longer than 12 minutes (including 2-3  minutes for questions). The abstract of your presentation should be submitted to Mr. Lin by the end of Tuesday (3/22). Presentation materials should be in professional quality: concise, accurate, logical, rich in contents, and visually pleasant. Each team should rehearse your presentation to have proper coordination and time management. Each member of the team should participate in the oral presentation. All demonstrations need to be setup beforehand to eliminate prolonged transition time. Presenters should dress in business casual.

Once your team has finished your presentation, your presentation and multimedia files should be posted  onto your team blog. You can upload your file to Google Drive first and then share the link on your blog.

STEM Research Hackathon Highlights

Hi All,

Hope you enjoy this new research experience! Congrats to those teams making major breakthrough today! I believe that more progresses will be coming soon from all the teams. Here are some highlights of our first hackathon:

• Team 8 got the first-time haptic feedback from their Senseg tablet and successfully displayed the US map on the screen! The breakthrough makes the team enter the app-building phase!
• Team 2 collected the first set of images from the "compound eyes" model using cell phone camera, and patched them together using Photoshop. This exercise helps the team to explore the strength and limitation of the current model.
• Team 9 successfully separated the red-color object from its background and displayed it as binary image! They tested the code on the number 3 subway sign and the result was astonishingly perfect!
• Team 3 revealed the story flow of their first app for the autistic children. 
• Team 7 started collecting and processing meaningful EMG data for the pinky through SpikerShield+Arduino+MatLab. The data collection process will continue for the rest of the fingers, and the team will then start the data analysis and classification phase.
• Team 1 demonstrated their drone target-following algorithm. Though they were in the mid of modifying their algorithm, we could almost see that the drone will soon following you everywhere!

Enjoy your long weekend and see you next semester!

Debugging the vision-based drone navigation code.

Why the binary image conversion not working?

Focusing on research.

OpenCV scenarios are so....... hard!

EMG data processing: finding the peak values.

Special lunch time entertainment.

First time having tables for class!

Smile.... STEM class!