Jay Iorio describes how sensors embedded in shoes track gait patterns over years to spot worsening back pain and other health trends. Combined with heart rate, skin response, blood sugar, and facial analysis, this continuous data could let doctors detect mood shifts and catch problems before they worsen.
I would say that you could probably infer a lot of information about a person's health, fitness, mood, and a lot of other things depending on sensors in the shoes. I— especially if you look at it over time. Let's say if you had the last 10 years of your gait, for example, a doctor could probably look at that and infer a lot of information. Increasing back problems, more pains, um, a sort of list to one side. You could probably, when combined with a similar body of cardiovascular information, um, uh, galvanic skin response, all the things that can be measured, blood sugar and so forth, you probably get a very refined picture, uh, better than any doctor could get today, and certainly better than any patient would have You could probably measure mood through a variety of selected inferences. If there were beyond facial recognition where you could really, I mean, do what we humans do, which is to discern that somebody's annoyed or somebody's happy or somebody's ready to laugh. You pick that up and analyze that over time, put it all together, and it would be a doctor's dream.
