The Birth of STEM Project Teams

Thanks for your prompt responses. According to your personal profiles, I have arranged project teams based on the career/academic goals, STEM skills, and preferences of topics/grouping. Most of the researchers got your top or second choices. The following list shows your new project teams for next year. Some project teams share the same topics, but have different focuses. Welcome to provide your feedbacks for further optimization.

Team 1: Autonomous Drone Navigation System in Indoor Environment 

Team member: Owen, Theo

Description: Processing video from the front camera of the drone to recognize and locate the guiding marks, and navigating the drone autonomously from starting point to destiny based on these sensor information.

Core technology: drone navigation, drone video image processing, laptop/desktop application

Platforms/Tools: Linux, AR Drone 2.0, AR Drone 2.0 SDK, Nodecopter, OpenCV

Team 2: Drone Defense System: Vision System

Team member: Adnan, Noah

Description: Developing and designing a proof-of-concept prototype of a projectile-based anti-drone system which can be used to protect the building/property from drone invasion.

Core technology: Sensors,  stereo vision, image processing, computer vision, iOS app programming

Platforms/Tools: Linux, OpenCV, Video4Linux, Beaglebone Black, FLIR ONE, FLIR ONE SDK

Team 3: Drone Defense System: Intercepting System

Team member: Henry, Eduardo

Description: Developing and designing a proof-of-concept prototype of a projectile-based anti-drone system which can be used to protect the building/property from drone invasion.

Core technology: Projectile launching system, robot design, robotic programming, embedded design

Platforms/Tools: RobotC, Arduino, Vex Robotics System

Team 4: Brainwave Controlled Games/Devices: OpenVIBE

Team member: Brian, Sarah

Description: Using signal processing techniques to analyze and classify brainwaves of different mental activities, and controlling games or devices accordingly.

Core technology: Electroencephalogram (EEG) signal processing, classification

Platforms/Tools: NeuroSky Mindwave, OpenVIBE

Team 5: Brainwave Controlled Games/Devices: NeuroSky Mindwave

Team member: Ty

Description: Using signal processing techniques to analyze and classify brainwaves of different mental activities, and controlling games or devices accordingly.

Core technology: Electroencephalogram (EEG) signal processing, mobile programming

Platforms/Tools: NeuroSky Mindwave, NeuroSky SDK, iOS/Android app programming

Team 6: Brainwave Controlled Games/Devices: Emotiv Insight

Team member: Isabelle, Harris

Description: Using signal processing techniques to analyze and classify brainwaves of different mental activities, and controlling games or devices accordingly.

Core technology: Electroencephalogram (EEG) signal processing, classification, mobile programming

Platforms/Tools: Emotiv Insight, Emotiv SDK, iOS/Android app programming

Team 7: Hand-to-Hand Communication

Team member: Julian, Lithu

Description: Using hand gestures and movements of one person to determine those of another person. Detecting the neural signals from the first person, processing and amplifying the neural signals, and stimulating the muscle/ nerves of the hand of another person. 

Core technology: Electromyography (EMG) signal processing, classification, Transcutaneous Electrical Nerve Stimulation (TENS), PossessedHand 

Platforms/Tools: Backyard Brains Human-Human-Interface

Team 8: Educational Mobile Apps for the Visually Impaired

Team member: Gabriela, Lola, Katherine

Description: Developing educational mobile apps using Senseg FeelScreen Technology. The goal is to add a second dimension to the traditional 1D braille display or audio for the visually impaired. 

Core technology: Mobile app programming, FeelScreen with haptic-feedback 

Platforms/Tools: Java, Android Studio, Senseg SDK

Team 9: General Mobile Apps for the Visually Impaired

Team member: Leslie

Description: Developing general mobile apps using Senseg FeelScreen Technology. The goal is to add a second dimension to the traditional 1D braille display or audio for the visually impaired. 

Core technology: Mobile app programming, FeelScreen with haptic-feedback 

Platforms/Tools: Java, Android Studio, Senseg SDK

Team 10: 2D Tactile Display Based on Electrovibration

Team member: Aaron, Vivian

Description: Developing and designing a low-cost 2D tactile display system based on electrovibration for the visually impaired. The system utilizes an iPad tablet, and off-the-shelf components. It includes the power, electronic, software, and optical subsystems. 

Core technology: Electrovibration, image processing, mobile app programming, low-power DC-to-DC converter, signal amplification, tablet technology 

Platforms/Tools: iPad, XCode, Objective-C, analog circuit design tools