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Friend in need
This document describes a fall detection app called Friend in Need. The app aims to save lives by sending alarm notifications when it recognizes a human fall using an Android device's sensors and machine learning algorithms. It summarizes that the team developed a prototype using accelerometer, gyroscope and other sensors on Android with a Python API and TensorFlow, validated there is interest during a business validation period, and is looking to introduce the app to research contacts and potential investors.
Friend in need
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- 2. MISSION To savelife's by sending alarm notification when recognizing human fall
- 3. RELEVANCE Human movementand balanced laboratory in University of Pittsburgh Researching fall and musculoskeletal injury prevention in healthy and clinical young/elderly adult populations University researches this area staring 1987 till nowadays More then 200 publication
- 4. WHO NEED THISAPP? About one third of the elder population over the age of 65 falls each year, and the risk of falls increases proportionately with age. At 80 years, over half of seniors fall annually It can be anyone starting from the small child in the kinder garden People who like sport The ones who are having problems with health, for example people with epilepsy Vendor OEM software pack.
- 5. BUISNESS VALIDATION During40hrs we got people interesting in our idea
- 6. PROTOTYPE and DEMO Android (accelerometer, gyroscope, force and energy) Python api – Core Tensor Flow Algorithm (current Softmax, in future – kNN)
- 7. FRIEND IN NEEDTEAM Sergii PO/Andro id Dev Victor Android Dev David Android Dev Natali Marketing Dmytro Marketing Margarita Designer
- 8. SUMMARY WHAT WEDID: Found new people who share our idea and help us with development (designer, mentors) Got valuable feedback and mentorship Implemented prototype WHAT WE NEED: Introduce to contacts in R&D (investors, vendors)
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