AI in Fitness Trackers: What It Knows About Your Body

End-of-lesson check

15 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-builders-healthcare-AI-fitness-trackers

1. Which body measurement do most fitness trackers analyze to estimate your sleep stages?

   1. Blood oxygen levels
   2. Motion during sleep
   3. Heart rate variation
   4. Skin temperature

2. Why do fitness trackers often give inaccurate step counts when you ride a bike?

   1. Your heart rate stays too steady
   2. Bikes don't have sensors compatible with trackers
   3. The AI is designed mainly for walking motions
   4. Bike rides don't count as exercise

3. What real-world outcome has been documented with Apple's irregular heart rhythm detection?

   1. It only works for people over 65
   2. It has been proven to cause anxiety
   3. It has actually saved lives
   4. It replaced hospital EKGs completely

4. What do fitness trackers provide when they detect something unusual?

   1. Medical diagnoses
   2. Emergency alerts to 911
   3. Signals that something might need attention
   4. Definite predictions of illness

5. Where does most of the data collected by your fitness tracker end up?

   1. Deleted after 24 hours
   2. Only shared if you post to social media
   3. Only on your phone, never shared
   4. The company that made the tracker

6. Based on the lesson, what can subtle changes in your fitness data sometimes predict?

   1. Your future career choices
   2. Exactly which day you will get sick
   3. How tall you will grow
   4. That you might be getting sick soon

7. What should you do if your fitness tracker keeps flagging the same health concern?

   1. Share it with a doctor right away
   2. Post it on social media for advice
   3. Delete the tracker app immediately
   4. Ignore it—it will go away

8. Why might a fitness tracker miscount your steps while you are skateboarding?

   1. The tracker's AI was not trained on skateboarding motions
   2. Skateboarders don't move enough to be tracked
   3. Your phone must be in your pocket, not on your wrist
   4. Skateboarding has the same motion pattern as walking

9. What is a major privacy concern mentioned in the lesson about fitness trackers?

   1. Your data goes to the company that made it
   2. Trackers share your location with everyone
   3. The government tracks your heartbeat
   4. Trackers can hear your conversations

10. How accurate is AI at estimating sleep stages from fitness tracker data?

    1. Mostly accurate but can sometimes be way off
    2. Always 100% accurate
    3. Only accurate for adults over 40
    4. Completely useless for sleep

11. What should you do about occasional weird readings from your fitness tracker?

    1. Throw the tracker away
    2. Do NOT panic—occasional weird readings happen
    3. Panic immediately and go to the ER
    4. Ignore them completely—you will drive yourself crazy

12. What does a fitness tracker analyze to detect irregular heart rhythms?

    1. Your step count history
    2. Your spoken voice patterns
    3. Your heart's electrical rhythm
    4. How much you type on your phone

13. Why is heart rate variation important for tracking sleep?

    1. It stays exactly the same all night
    2. It only matters during exercise
    3. It changes predictably between different sleep stages
    4. It shows how fast you can run

14. Which company was mentioned as having a feature that has saved lives?

    1. Fitbit
    2. Samsung
    3. Apple
    4. Garmin

15. What is NOT something fitness tracker AI is designed to do?

    1. Count steps
    2. Predict illness from subtle changes
    3. Give you a medical diagnosis
    4. Detect heart rhythm patterns