Personal Informatics Prototype: "chew"
Most Americans have unhealthy eating behaviors. (See background and research)
Current food tracking applications track calories and macronutrients -- which must be entered manually
Focus on aspects where technology already supports passive tracking; areas we can already have an impact
A passive tracker for your eating habits (for Apple Watch + iPhone platform)
It measures how long it takes you to eat, how fast you eat (by arm movement), and how frequently you eat -- seamlessly in the background.
The Watch app serves two key functions: sensing + information display. A minimal design focuses on just two key metrics.
We would not start from scratch. We would utilize Apple's developer frameworks for Watch and iPhone, specifically "Core Motion" and "Watch Connectivity."
Superior to dual-band custom wearables or a necklace sensor. Arm-based detection can be trained to handle edge cases more easily.
Manual calibration by the user would be required for the first two weeks of use. This increases accuracy of measurement.
Public Health Impact
chew would allow for wide-scale eating habit data collection for n>1 population studies. We could partner with academic institutions for research and clinical use.