Page 136 - Artificial Intelligence for the Internet of Everything

122 Artificial Intelligence for the Internet of Everything

Calories Fitness
3000

2000

1000

0
Day
1 2 3 4 5 6 7
–1000
Diet Exercise Fitness
Fig. 7.2 Measuring fitness through diet and exercise data.

For habitual offenders we imagine that such an app may schedule an appoint-
ment with a physician. Some insurance companies already tie their rates
to their clients’ fitness data; as such, insurance rates are, in some cases, already
tied to fitness. In general, we imagine that many people wishing to lead
healthy lives will appreciate an application that helps them maintain
their fitness.

7.3.1 Interlude
So far, we have seen that meaningful data may be generated and uploaded
continuously. However, we have also seen cases in which data is generated
and uploaded sporadically. We consider both to be real-time data. Addition-
ally, we have seen applications that model behavior and are authorized to act,
while enforcing certain constraints. We will now continue to weave a larger
web of interconnected applications that manage additional aspects of our
lives. In this context we will move further away from sensor data. We will
argue that data generated by applications are to be considered part of the next
generation of IoT.
Mentalhealth. Mentalhealth isequally important to physical health.IoT and
derived applications will enable us to monitor and gauge mental health as well.
We know we will soon have mirrors that are equipped with cameras that can
interpret a person’s mood. Certainly, the same software can be installed on
camerasofvariouscomputingdevicesthatpeopleuseonadailybasis.Weenvi-
sion that someone will soon develop a working laugh-o-meter app for smart-
phones,providingusefulinformationabout aperson’smentalhealth.Theseare
but two examples; we mention them to express our vision that some of the
IoT data will require sophisticated processing to derive desirable information.