Project

# Title Team Members TA Documents Sponsor
22 Real-Time Free Throw Feedback Device
Joseph Vande Vusse
Mathew Kizhakkadathu
Sanjay Kalidindi
Hershel Rege design_document0.docx
final_paper0.pdf
presentation0.pptx
video
A basketball free throw cannot yet be analyzed in real time by an individual practicing alone. One can try different things to attain different results (or even record their attempts), but this process is slow and unscientific. We would like to change this.

Our free throw feedback device would alert the user to their issues in real time based on a history of their made shots. In the training phase, it would gather data via 2-3 lower and upper body sensors to determine the averages forces applied by various parts of an individual’s body in a successful shot. The running averages would be calculated by transferring the data of each sensor to a computer for each attempt. Then, in the testing phase, the machine would either present an acknowledgement of a made shot, or constructive criticism to improve next time. The criticism would be based on which of these 2-3 sensors displayed the largest deviation from it’s average during the training phase. An example message from the machine might read, “More legs next time!”.

The hardware would essentially be the sensors (likely an array of accelerometers) fed to a microcontroller with several UART ports (for simultaneous data transfer) and power circuits to power each of them. The microcontroller would then transfer the data to the computer where a script would perform the higher level functions (running average, training vs. testing, and feedback).

Our project is an innovation in that it combines existing technologies (sensors/microcontroller/computer) with our data compilation and transferring for rewarding user experience. A potential competitor is the ESPN series “Sport Science” which analyzes performance in various sports, including basketball. It appears to be largely reactive while our device is proactive in that in is helping an individual in real time.

Cloud-controlled quadcopter

Anuraag Vankayala, Amrutha Vasili

Cloud-controlled quadcopter

Featured Project

Idea:

To build a GPS-assisted, cloud-controlled quadcopter, for consumer-friendly aerial photography.

Design/Build:

We will be building a quad from the frame up. The four motors will each have electronic speed controllers,to balance and handle control inputs received from an 8-bit microcontroller(AP),required for its flight. The firmware will be tweaked slightly to allow flight modes that our project specifically requires. A companion computer such as the Erle Brain will be connected to the AP and to the cloud(EC2). We will build a codebase for the flight controller to navigate the quad. This would involve sending messages as per the MAVLink spec for sUAS between the companion computer and the AP to poll sensor data , voltage information , etc. The companion computer will also talk to the cloud via a UDP port to receive requests and process them via our code. Users make requests for media capture via a phone app that talks to the cloud via an internet connection.

Why is it worth doing:

There is currently no consumer-friendly solution that provides or lets anyone capture aerial photographs of them/their family/a nearby event via a simple tap on a phone. In fact, present day off-the-shelf alternatives offer relatively expensive solutions that require owning and carrying bulky equipment such as the quads/remotes. Our idea allows for safe and responsible use of drones as our proposed solution is autonomous, has several safety features, is context aware(terrain information , no fly zones , NOTAMs , etc.) and integrates with the federal airspace seamlessly.

End Product:

Quads that are ready for the connected world and are capable to fly autonomously, from the user standpoint, and can perform maneuvers safely with a very simplistic UI for the common user. Specifically, quads which are deployed on user's demand, without the hassle of ownership.

Similar products and comparison:

Current solutions include RTF (ready to fly) quads such as the DJI Phantom and the Kickstarter project, Lily,that are heavily user-dependent or user-centric.The Phantom requires you to carry a bulky remote with multiple antennas. Moreover,the flight radius could be reduced by interference from nearby conditions.Lily requires the user to carry a tracking device on them. You can not have Lily shoot a subject that is not you. Lily can have a maximum altitude of 15 m above you and that is below the tree line,prone to crashes.

Our solution differs in several ways.Our solution intends to be location and/or event-centric. We propose that the users need not own quads and user can capture a moment with a phone.As long as any of the users are in the service area and the weather conditions are permissible, safety and knowledge of controlling the quad are all abstracted. The only question left to the user is what should be in the picture at a given time.

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