Gabe:

Concus-Sense is a mesh designed to detect and provide data on concussions, built specifically for younger children (ages 6-12) to improve safety in youth sports. The device consists of four main components: the inner mesh, location plates, an accelerometer, and the output system.

The inner mesh is designed to fit the average child's head, with four foam pads mounted on top for added safety. Resting on these pads are the location plates, plastic panels equipped with multiple buttons to detect the area of impact. When an impact occurs, the accelerometer measures the speed and orientation of the head, feeding this data into the output system, which determines the likelihood of a concussion. The system also records data from the previous 15 seconds, providing valuable insight for both research and diagnosis, helping to speed up evaluation and response.

Nico:

Project paragraph here

Bradley:

Concus-Sense is a mesh designed to detect the likelihood of a concussion upon an impact. It is built for younger children who want to enter sports (around ages 6-12) to improve their safety while playing. The device is comprised of four main components;

The Inner Mesh:

Tailored to fit the average child's head, featuring four foam pads on top for enhanced protection.  

The Force Sensors:

Plastic panels positioned above the mesh pads and embedded with multiple buttons to detect and spread the impact area.

The Accelerometer:

Captures the head's speed and orientation upon impact, transmitting the data of the last and next 15 seconds to the Processor. In total it captures 30 seconds of data.

The Processor:

Uses that data from the Accelerometer and puts it though an equation we derived from a research paper. The equation takes the fastest linear and rotational speed during the 30 seconds of recorded data, and determines one's likelihood of a concussion. The equation outputs a value between 0 and 1. The closer to 1, the higher likelihood of a concussion. The logs of the data can offer valuable insights for research and diagnosis. This will ultimately aid in a faster evaluation and response to concussions in the future.

Ike:

Our project Concus-Sense aimed to help parents more accurately diagnose their children with concussions. Concussion symptoms are difficult to recognize, vary from person to person, and can occur hours after receiving a concussion. We designed Concus-Sense to provide real-time data to help doctors and parents detect concussions in kids. It tracks impact force, speed, and location to estimate severity. This data helps determine how and where a concussion occurred. With it, concussions can be identified quickly and accurately.

To construct Concus-Sence we split it up into 4 different parts: the inner lining, the force sensors, the accelerometers, and the processing. The inner lining was made from fabric and padding sewn together to fit around one's head and simulate the feel of an actual helmet. The force sensors were laser-cut cardboard and wood with buttons and accelerometers inside; when any force would hit these sensors it would trigger the button and relay information to the accelerometer. We coded all of this information with processors.

Our final product was a helmet-shaped device that could track forces on the head inferring concussions. Although it does what it was intended to do, it is still a prototype. Different ways to take this project into the future would be: selling it as an attachable inside mech that parents could attach to their children's helmets; or selling it as a helmet itself. Those are two of the countless possible ways to take this project. Finally, the current way to view the information relayed by Concus-sense is on a website, we decided moving the info to an app would be superior.