RecovARy | Devpost

Wall Tennis Game to track the speed, reaction time
Fruit Ninja Game to track hand - eye coordination

Inspiration

We were inspired to build RecovARy after attending Physical Therapy for the last few weeks. One of us was diagnosed with muscle spasms in their neck. After being diagnosed with muscle knots by experienced doctors, they were told the only way to fix this challenging and painful obstacle was to increase mobility in their body. Although their story involved muscle spasms, I designed this app to take it a step further, for patients who require mobility after having a stroke. A stroke, if you aren't aware, damages brain cells due to a reduced blood flow to the brain, and thus, one of many things in the body that are affected are regular movement and mobility. Therefore, we created this app with two distinct AR games, allowing a patient to choose from either Wall Tennis or 3D Fruit Ninja.

What it does

Our app essentially contains two video games: Wall Tennis focuses on restoring a patient's arm power, including movement in the arms, shoulders, and wrists, and we calculate a patient's hitting speed to see how much mobility they are gaining in their arms; Fruit Ninja focuses on hand-eye coordination and calculates a patient's reaction time.

How we built it

We built this app using the following technologies: Snap Inc. Spectacles, Lens Studio, Fetch.ai, Groq, Xano, and React JS

Challenges we ran into

A couple of challenges that I ran into was trying to change the entire concept of Wall Tennis into Squash. However, I noticed that the game was turning more into Virtual Reality, meaning I couldn't see the real world around me anymore and rather was completely immersed in the lens' objects instead of partially. Therefore, I changed the game back to Wall Tennis.

Accomplishments that we're proud of

We were proud of not only being able to develop these two video games but also being able to fetch two data values from Lens Studio (hitting speed from Wall Tennis and reaction time from Fruit Ninja) to calculate and analyze a patient's data to create an accurate and effective report for doctors/physical therapists to see how much mobility their patient is gaining.

What we learned

We learned how to work together fight through obstacles, and even create a fully fleshed-out product given our limited time frame.

What's next for RecovARy

We would love to create a wider variety of games for patients to choose from, perhaps focusing on other parts of mobility than just hitting speed from the arm, and reaction time calculating a patient's reaction time. Another game we had in mind was inspired by Valorant's shooting range, where several objects would spawn in random locations and the patient would get a limited time (a split second) to hit the object before it disappeared.