Monitoring and reporting the health condition of a television user
Implementations generally relate to monitoring the health condition of a television user. In some implementations, a method includes detecting one or more activities of a user, wherein the one or more activities include watching television. The method further includes monitoring one or more health vitals of the user. The method further includes tracking a health status of the user based on the one or more activities and based on the monitoring of the one or more health vitals. The method further includes detecting one or more health anomalies based the health status. The method further includes responding to the one or more health anomalies based on one or more predetermined policies.
1. A system comprising:
one or more processors; and
logic encoded in one or more non-transitory computer-readable storage media for execution by the one or more processors and when executed operable to perform operations comprising:
identifying a user using facial recognition and machine learning;
detecting one or more activities of the user, wherein the one or more activities include watching a television and eating while watching the television;
recognizing each type of food using one or more cameras, image recognition, and a food database;
logging each type of food, an amount of each type of food, and a time that each type of food was consumed while the user is watching the television;
monitoring, using a one or more sensors, one or more health vitals of the user using machine learning to scan the one or more health vitals, and wherein the monitoring of the one or more health vitals is performed in association with a television remote control;
tracking a health status of the user based on the one or more activities and based on the monitoring of the one or more health vitals;
detecting one or more health anomalies based the health status;
responding to the one or more health anomalies using machine learning and based on one or more predetermined policies; and
providing feedback to the user on a display device in association with the food, wherein the feedback comprises the amount of food that the user is eating while watching the television.
2. The system of claim 1 , wherein the system is in a fixed location.
3. The system of claim 1 , wherein the system is associated with the television.
4. The system of claim 1 , wherein the logic when executed is further operable to perform operations comprising monitoring the one or more heath vitals using the television remote control with one or more integrated biometric sensors.
5. The system of claim 1 , wherein the monitoring of the one or more health vitals is performed in association with a television remote control.
6. The system of claim 1 , wherein at least one of the health vitals is heart rate.
7. A non-transitory computer-readable storage medium with program instructions stored thereon, the program instructions when executed by one or more processors are operable to perform operations comprising:
identifying a user using facial recognition and machine learning;
detecting one or more activities of the user, wherein the one or more activities include watching a television and eating while watching the television;
recognizing each type of food using one or more cameras, image recognition, and a food database;
logging each type of food, an amount of each type of food, and a time that each type of food was consumed while the user is watching the television;
monitoring, using a one or more sensors, one or more health vitals of the user using machine learning to scan the one or more health vitals, and wherein the monitoring of the one or more health vitals is performed in association with a television remote control;
tracking a health status of the user based on the one or more activities and based on the monitoring of the one or more health vitals;
detecting one or more health anomalies based the health status;
responding to the one or more health anomalies using machine learning and based on one or more predetermined policies; and
providing feedback to the user on a display device in association with the food, wherein the feedback comprises the amount of food that the user is eating while watching the television.
8. The computer-readable storage medium of claim 7 , wherein the computer-readable storage medium is in a fixed location.
9. The computer-readable storage medium of claim 7 , wherein the instructions are performed in association with the television.
10. The computer-readable storage medium of claim 7 , wherein the instructions when executed are further operable to perform operations comprising monitoring the one or more heath vitals using the television remote control with one or more integrated biometric sensors.
11. The computer-readable storage medium of claim 7 , wherein the monitoring of the one or more health vitals is performed in association with a television remote control.
12. The computer-readable storage medium of claim 7 , wherein at least one of the health vitals is heart rate.
13. A computer-implemented method comprising:
identifying a user using facial recognition and machine learning;
detecting one or more activities of the user, wherein the one or more activities include watching a television and eating while watching the television;
recognizing each type of food using one or more cameras, image recognition, and a food database;
logging each type of food, an amount of each type of food, and a time that each type of food was consumed while the user is watching the television;
monitoring, using a one or more sensors, one or more health vitals of the user using machine learning to scan the one or more health vitals, and wherein the monitoring of the one or more health vitals is performed in association with a television remote control;
tracking a health status of the user based on the one or more activities and based on the monitoring of the one or more health vitals;
detecting one or more health anomalies based the health status;
responding to the one or more health anomalies using machine learning and based on one or more predetermined policies; and
providing feedback to the user on a display device in association with the food, wherein the feedback comprises the amount of food that the user is eating while watching the television.
14. The method of claim 13 , wherein a system implementing the method is in a fixed location.
15. The method of claim 13 , wherein the method is performed in association with the television.
16. The method of claim 13 , further comprising monitoring the one or more heath vitals using the television remote control with one or more integrated biometric sensors.
17. The method of claim 13 , wherein the monitoring of the one or more health vitals is performed in association with a television remote control.