The problem Link Your Move solves

Our problem statement is to develop an app that uses depth estimation and image processing to accurately track gait and movement patterns in individuals with a range of mobility issues.The goal of the app is to provide valuable insights for diagnosis, treatment, and monitoring of conditions affecting gait and mobility, improving patient outcomes and quality of life.

Gait Analysis is in short analysis of each component of the three phases of ambulation , which is an essential part of the diagnosis of various neurologic disorders and the assessment of patient progress during rehabilitation and recovery from the effects of neurologic disease, a musculoskeletal injury or disease process, or amputation of a lower limb.

Our app will be designed to capture high-quality data, optimize algorithms for accuracy and efficiency, and be user-friendly and accessible to a range of healthcare professionals and individuals. It can be helpful in successfully monitoring and in rehabilition processes in varied diseases such as Cerebral palsy , Parkinson's disease, Multiple sclerosis,Stroke,Osteoarthritis, Spinal cord injury.

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 continious 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. Then , our app will likely collect personal health information, which means we need to design the app with strong data privacy and security measures to protect user data.