Probably a form of wrist watch will do

the trick as far as sensors go,

detecting interaction with objects

and the environment.

 

Eating, smoking, drinking water,

these are predictable patterns by physical movments

limited to the composition analysis.

 

But that too, if taken photos of,

can be predicted of the calorie intake,

nutrition factors, behavioral patterns

by frequency (smoking),

and the rate at which the water

is consumed by the holding position toward

the mouth, (cup, bottle, or by water fountain)

 

whichever permutations.

 

point is, gather the data and list it

for observation to better provide

solutions to issues by data, or suggest them

by leads/matching algorithm.