Systems and methods for impairment baseline learning
Various embodiments provide systems and methods for identifying impairment using measurement devices.
1. A system for determining individual impairment, the system comprising:
a first individual characteristic sensor;
a first impairment detection module configured to:
receive a first baseline impairment threshold;
receive a first sensed information about a monitored individual from the first individual characteristic sensor;
determine a first impairment value for the monitored individual based at least in part on the first sensed information;
compare the first impairment value to the first baseline impairment threshold; and
provide a first impairment output based upon the comparison of the first impairment value to the first baseline impairment threshold;
a second impairment detection module configured to:
receive a second baseline impairment threshold;
receive a second sensed information about the monitored individual from a second individual characteristic sensor;
determine a second impairment value for the monitored individual based at least in part on the second sensed information;
compare the second impairment value to the second baseline impairment threshold; and
provide a second impairment output based upon the comparison of the second impairment value to the second baseline impairment threshold; and
an impairment threshold learning module configured to modify the first baseline impairment threshold based at least in part on the second impairment output.
2. The system of claim 1 , wherein the impairment threshold learning module is a first impairment threshold learning module, the system further comprising:
a second impairment threshold learning module configured to:
receive a binary impairment finding; and
modify the second baseline impairment threshold based at least in part on the binary impairment finding.
3. The system of claim 1 , wherein the first individual characteristic sensor and the second individual characteristic sensor are the same sensor.
4. The system of claim 1 , wherein the first impairment detection module is a passive impairment detection module operable to determine the first impairment value without commanding a monitored individual to engage in a first activity supporting production of the first sensed information, and wherein the second impairment detection module is an active impairment detection module operable to command the monitored individual to engage in a second activity supporting production of the second sensed information.
5. The system of claim 4 , wherein:
the first activity is selected from a group consisting of: walking, breathing, and looking at a screen of a user detached monitor device; and
the second activity is selected from a group consisting of: walking, standing on one foot, playing a video game on the user detached monitor device, and watching a video on the user detached monitor device.
6. The system of claim 1 , wherein the first individual characteristic sensor is selected from a group consisting of: a camera, a respiration monitor, a heart rate monitor, an accelerometer, and a perspiration monitor.
7. The system of claim 1 , wherein the system comprises:
a user detached monitor device including a non-transitory computer-readable medium and a processor, and wherein the impairment detection module and the impairment threshold learning module are each implemented in instructions stored in the non-transitory computer readable medium and executable by the processor.
8. The system of claim 1 , wherein the system comprises:
a user detached monitor device including a first non-transitory computer-readable medium and a first processor;
a user attached monitor device including a second non-transitory computer-readable medium and a second processor; and
wherein the impairment detection module and the impairment threshold learning module implemented in instructions stored in one or both of the first non-transitory computer-readable medium and the second non-transitory computer-readable medium and executable by one or both of the first processor and the second processor.
9. The system of claim 1 , wherein the second impairment output is a binary impairment finding, and wherein modifying the baseline impairment threshold includes modifying the baseline impairment threshold to make it easier to indicate that the monitored individual is impaired where the binary impairment finding indicates that the monitored individual is impaired.
10. The system of claim 1 , wherein the impairment threshold learning module is configured to modify the baseline impairment threshold based at least in part on the first impairment output and the second impairment output.
11. A method for determining impairment of a monitored individual, the method comprising
associating a monitoring device with a monitored individual, wherein the monitoring device includes a first individual characteristic sensor and a second individual characteristic sensor;
receiving a first sensed information about the monitored individual from the first individual characteristic sensor;
determining a first impairment value for the monitored individual based at least in part on the first sensed information;
comparing the first impairment value to a first baseline impairment threshold; and
providing a first impairment output based upon the comparison of the first impairment value to the first baseline impairment threshold;
receiving a second sensed information about the monitored individual from a second individual characteristic sensor;
determining the second impairment value for the monitored individual based at least in part on the second sensed information;
comparing the second impairment value to the second baseline impairment threshold; and
providing the second impairment output based upon the comparison of the second impairment value to the second baseline impairment threshold; and
modifying the first baseline impairment threshold based at least in part on a second impairment output.
12. The method of claim 11 , the method further comprising:
receiving a binary impairment finding; and
modifying the second baseline impairment threshold based at least in part on the impairment finding.
13. The method of claim 11 , wherein the first individual characteristic sensor and the second individual characteristic sensor are the same sensor.
14. The method of claim 11 , the method further comprising:
commanding the monitored individual to perform an activity;
wherein receiving the first sensed information about the monitored individual from the first individual characteristic sensor is done before commanding the monitored individual to perform the activity; and
wherein receiving the second sensed information about the monitored individual from the second individual characteristic sensor is done after commanding the monitored individual to perform the activity.
15. The method of claim 14 , wherein the activity is selected from a group consisting of: walking, standing on one foot, playing a video game on the user detached monitor device, and watching a video on the user detached monitor device.
16. The method of claim 11 , wherein the first individual characteristic sensor is selected from a group consisting of: a camera, a respiration monitor, a heart rate monitor, an accelerometer, and a perspiration monitor.
17. The method of claim 11 , wherein the second impairment output is a binary impairment finding, and wherein modifying the baseline impairment threshold is based at least in part on the binary impairment finding.
18. The method of claim 11 , wherein modifying the first baseline impairment threshold based at least in part on a second impairment output includes modifying the first baseline impairment threshold based at least in part on the first impairment output and the second impairment output.
19. A system for impairment monitoring, the system comprising:
a user detached monitor device including a first individual characteristic sensor, a second individual characteristic sensor, a memory, and a processor, wherein the memory includes instructions executable by the processor to:
receive a first baseline impairment threshold;
receive a first sensed information about a monitored individual from the first individual characteristic sensor;
determine a first impairment value for the monitored individual based at least in part on the first sensed information;
compare the first impairment value to the first baseline impairment threshold; and
generate a first impairment output based upon the comparison of the first impairment value to the first baseline impairment threshold;
receive a second baseline impairment threshold;
receive a second sensed information about a monitored individual from the first individual characteristic sensor;
determine a second impairment value for the monitored individual based at least in part on the second sensed information;
compare the second impairment value to the second baseline impairment threshold; and
generate a second impairment output based upon the comparison of the second impairment value to the second baseline impairment threshold; and
modify the first baseline impairment threshold based at least in part on the second impairment output.
20. The system of claim 19 , wherein the memory includes instructions executable by the processor to:
modify the second baseline impairment threshold based at least in part on a binary impairment finding.