Project

# Title Team Members TA Documents Sponsor
10 Assistive Technology for Patients with Medical Face Blindness
Jeffrey Luan
Timothy Chia
Yuchen He TA final_paper
presentation
proposal
Prosopagnosia is a neurological condition characterized by the inability to recognize faces. After talking a few times with an ECE professor that has this condition, I'd like to work on developing a prototype for a minimally intrusive assist technology designed to help normalize social interactions. The basic idea is to create one piece of wearable tech that captures image data to be sent to a smartphone. The phone can handle facial recognition from a user managed database, and provide the needed information to the user. For example, an ear mounted camera with a subtle activation button might send a photo to the phone, which will identify the largest face in the image and transmit the information to the user through a second piece of wearable tech.

Building on projects FA15_30 and FA12_17, the second wearable is a wristband with a screen, with their WiFi replaced by bluetooth if we keep the phone app, the button I/O for camera activation. Battery and charging for both the camera and wristband prototypes as well. In addition, the wristband buzz once if the face is not in the database, so the user can immediately transition into introductions. A different buzz pattern would indicate that the face was identified, and the information transmitted to the screen.

On the software side, we weren't too interested in duplicating the work already done by so many other labs, and were hoping to just use API calls to any of these http://blog.rapidapi.com/2017/11/10/top-10-facial-recognition-apis-of-2017/ taking advantage of cellular networks and the cloud. This would then free us up to do the more interesting software work of creating the UI to manage the database, and give us time to work on more interesting hardware (like the second piece of wearable tech) which could be more important for this class.

Drum Tutor Lite

Zhen Qin, Yuanheng Yan, Xun Yu

Drum Tutor Lite

Featured Project

Team: Yuanheng Yan, Zhen Qin, Xun Yu

Vision: Rhythm games such as guitar hero are much easier than playing the actual drums. We want to make a drum tutor that makes playing drums as easy as guitar hero. The player is not required to read a sheet music.

Description: We will build a drum add-on that will tutor people how to play the drums. We will make a panel for visual queue of the drum and beats in a form similar to guitar hero game. The panel can be a N*10 (N varying with the drum kit) led bar array. Each horizontal bar will be a beat and each horizontal line above the bottom line will represent the upcoming beats.

There will be sensors on each drum that will fire when the drum heads is hit. The drums will be affixed with ring of light that provides the timing and accuracy of the player according to the sensors.

Of course with a flip of a switch, the drum could be a simple light up drum: when the player hits the drum, that particular drum will light up giving cool effects.

The system will be on a microprocessor. Or for more versatile uses, it could be connected to the computer. And a app will be written for the tutor.

Project Videos