- Discussed about our solutions for each area:
- Design of the device:
- Pin to your belt or body to fix the location of the device, which keeps the fall detection data consistent
- Fall detection:
- Listed types of normal activities (ordinary behavior) for fall and non-fall categories (unusual fall) for testing
- ML algorithm selection design decision
- Mobile App:
- Decided to change from iOS to Android application
- Design of the device:
- Picked up core hardware, determined approximate specs for the remainder
- We have a new team member (Jacob) joined our team. He will help work on the machine learning portion of the fall detection system.
Nick Lee, Sojeong Lee, Max Lutwak, Jacob Hoffman