Systems and Methods for Impairment Detection Using Historical Data

1 . A method for identifying individual impairment, the method comprising:

generating a characteristic of a monitored individual based at least in part on data received from a sensor on a user detached monitor device associated with the monitored individual;

generating an impairment value by the user detached monitor device based at least in part on the characteristic of the monitored individual;

receiving historical data about the monitored individual; and

increasing the impairment value based at least in part on the historical data about the monitored individual.

2 . The method of claim 1 , wherein the historical data is an indication that the monitored individual has a substance addiction.

3 . The method of claim 1 , wherein the historical data is a location where the monitored individual has previously been.

4 . The method of claim 1 , wherein the historical data is a person with whom the monitored individual was in proximity during a previous time period.

5 . The method of claim 1 , wherein the characteristic of the monitored individual is an eye movement characteristic, wherein the sensor is a camera, and wherein generating the characteristic of the monitored individual includes:

displaying a video on a display of the user detached monitor device;

receiving images of eyes of the monitored individual captured by the camera while the monitored individual watches the video; and

using the received images to calculate the eye movement characteristic.

6 . The method of claim 5 , wherein generating the impairment value includes:

comparing the eye movement characteristic to a baseline eye movement threshold; and

generating the impairment value based upon the comparison of the eye movement characteristic and the baseline eye movement threshold.

7 . The method of claim 1 , wherein the characteristic of the monitored individual is a balance characteristic, wherein the sensor is an accelerometer, and wherein generating the characteristic of the monitored individual includes:

receiving acceleration data from the accelerometer; and

calculating the balance characteristic based upon the acceleration data.

8 . The method of claim 7 , wherein generating the impairment value includes:

comparing the balance characteristic to a baseline balance threshold; and

generating the impairment value based upon the comparison of the balance characteristic and the baseline balance threshold.

9 . The method of claim 7 , wherein the characteristic of the monitored individual is a balance characteristic, wherein the sensor is an accelerometer, and wherein generating the characteristic of the monitored individual includes:

providing an instruction for the monitored individual to engage in a particular movement via the user detached monitor device; and

wherein the acceleration data is received as the monitored individual engages in the particular movement.

10 . The method of claim 9 , wherein the particular movement is selected from a group consisting of: walking in a straight line, and standing on one foot.

11 . The method of claim 1 , wherein the characteristic of the monitored individual is a duration of time for an action taken by the monitored individual, wherein the sensor is a timer, and wherein generating the characteristic of the monitored individual includes:

displaying a game via a display on the user detached monitor device; and

receiving timer data from the timer, wherein the timer data indicates the duration of time for an action taken by the monitored individual while playing the game.

12 . The method of claim 11 , wherein generating the impairment value includes:

comparing the duration of time for the action taken by the monitored individual to a baseline reaction threshold; and

generating the impairment value based upon the comparison of the duration of time for the action taken by the monitored individual and the baseline reaction threshold.

13 . A system for determining a likelihood of impairment, the system comprising:

a user detached monitor device, wherein the user detached monitor device includes:

a sensor;

a display;

a processor; and

a computer readable medium including non-transitory instructions executable by the processor to:

generate a characteristic of a monitored individual based at least in part on data received from the sensor;

generate an impairment value based at least in part on the characteristic of the monitored individual;

receive historical data about the monitored individual; and

increase the impairment value based at least in part on the historical data about the monitored individual.

14 . The system of claim 13 , wherein the system further comprises:

a user attached monitor device physically attached to the monitored individual; and

wherein the computer readable medium further includes non-transitory instructions executable by the processor to:

receive a test setup request from a user attached monitor device physically attached to the monitored individual, wherein the test setup request indicates a particular impairment test; and

start the particular impairment test by enabling the sensor and requesting that the monitored individual perform a particular activity.

15 . The system of claim 13 , wherein the historical data is selected from a group consisting of: an indication that the monitored individual has a substance addiction, a location where the monitored individual has previously been, and a person with whom the monitored individual was in proximity during a previous time period.

16 . The system of claim 13 , wherein the characteristic of the monitored individual is an eye movement characteristic, wherein the sensor is a camera, and wherein the non-transitory instructions executable by the processor to generate the characteristic of a monitored individual include non-transitory instructions executable by the processor to:

display a video on a display of the user detached monitor device;

receive images of eyes of the monitored individual captured by the camera while the monitored individual watches the video; and

use the received images to calculate the eye movement characteristic.

17 . The system of claim 16 , wherein the non-transitory instructions executable by the processor to generate the impairment value include non-transitory instructions executable by the processor to:

compare the eye movement characteristic to a baseline eye movement threshold; and

generate the impairment value based upon the comparison of the eye movement characteristic and the baseline eye movement threshold.

18 . The method of claim 13 , wherein the characteristic of the monitored individual is a balance characteristic, wherein the sensor is an accelerometer, and wherein the non-transitory instructions executable by the processor to generate the characteristic of a monitored individual include non-transitory instructions executable by the processor to:

receive acceleration data from the accelerometer; and

calculate the balance characteristic based upon the acceleration data.

19 . The system of claim 18 , wherein the non-transitory instructions executable by the processor to generate the impairment value include non-transitory instructions executable by the processor to:

compare the balance characteristic to a baseline balance threshold; and

generate the impairment value based upon the comparison of the balance characteristic and the baseline balance threshold.

20 . The system of claim 13 , wherein the characteristic of the monitored individual is a duration of time for an action taken by the monitored individual, wherein the non-transitory instructions executable by the processor to generate the characteristic of a monitored individual include non-transitory instructions executable by the processor to:

display a game via a display on the user detached monitor device; and

receive timer data from the timer, wherein the timer data indicates the duration of time for an action taken by the monitored individual while playing the game.

21 . The system of claim 20 , wherein the non-transitory instructions executable by the processor to generate the impairment value include non-transitory instructions executable by the processor to:

compare the duration of time for the action taken by the monitored individual to a baseline reaction threshold; and

generate the impairment value based upon the comparison of the duration of time for the action taken by the monitored individual and the baseline reaction threshold.