Inspiration
The contribution of everyday activity of an individuals inspired me to take up this idea.
What it does
The goal of this is to provide valuable insights for diagnosis, treatment, and monitoring of conditions affecting mobility, improving patient outcomes and quality of life.
How we built it
Using frameworks like pytorch, flutter, concepts like cloud computing.
Challenges we ran into
Our biggest challenge was how we can use minimum amount of sensors and reduce the cost of the whole system. By continous brainstorming , we decided to use depth estimation , computer vision, which have the potential to reduce the number of sensors needed for gait analysis. Figuring out their algorithms was again a challenge.
Accomplishments that we're proud of
Able to achieve what we thought to built with minimal knowledge.
What we learned
How to brainstorm for depth estimation and reduce the numbers of sensors.
What's next for Rely over Movement
To able to track more activities related to body and everyday working.
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