Patent US10169662

Remote biometric monitoring system
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US10169662

1. A system for remotely monitoring a sleeping subject, the system comprising: (6) (5)

a digital camera configured to capture images of a subject, the digital camera including a digital image sensor, one or more local processors in communication with the digital image sensor, and a memory, wherein the digital image sensor, the one or more local processors, and the memory are enclosed in a same housing, and wherein no sensors or markers are attached to the subject;

a tripod support having the digital camera articulatably attached thereto, wherein the tripod support includes a pair of short legs each having a first permanent length, and a long leg having a second permanent length at least fifty percent longer than the first permanent length;

an environmental sensor in communication with the one or more local processors of the digital camera, the environmental sensor configured to detect a physical characteristic of a local environment of the subject;

an environmental control device in communication with the one or more local processors of the digital camera, the environmental control device configured to produce a change in the local environment of the subject; and

a set of instructions stored in the memory of the digital camera and executable locally by the one or more local processors to: receive a sensed input from the environmental sensor and a plurality of time-sequenced images of the subject from the digital image sensor;

determine a position of a torso region of the subject using an artificial intelligence module trained to determine a presence and a position of the subject in a subset of images of the time-sequenced plurality of images;

identify, using the position of the torso region determined by the artificial intelligence module to perform a biometric analysis on an uncompressed version of the plurality of time-sequenced images, an activity state of the subject; and

cause a change in the environmental control device based on the sensed input and the activity state of the subject.

2. The system of claim 1, wherein the biometric analysis includes determining whether the subject is moving by performing an actigraphic analysis of the plurality of uncompressed, time-sequenced images of the subject. (0)

3. The system of claim 1, wherein identifying the activity state of the subject includes identifying a sleep state of the subject. (0)

4. The system of claim 1, wherein the subset of images consists of a single image. (0)

5. The system of claim 1, wherein the biometric analysis further includes determining a respiration pattern of the subject. (1) (0)

7. The system of claim 1, wherein the artificial intelligence module comprises a neural network. (0)

8. The system of claim 1, further comprising a remote notification device in communication with the digital camera, the remote notification device configured to provide information relating to the activity state of the subject to a user located out of sight of the subject. (0)

9. A system for remotely monitoring a sleeping person, the system comprising: (3) (4)

a digital camera configured to capture images of a person, the digital camera including a digital image sensor, one or more local processors in communication with the digital image sensor, and a memory, wherein the digital image sensor, the one or more local processors, and the memory are enclosed in a same housing, and wherein no sensors or markers are attached to the person;

a remote notification device in communication with a user located out of sight of the person; and

a set of instructions stored in the memory of the digital camera and executable locally by the one or more local processors to: receive a plurality of time-sequenced images of the person from the digital image sensor;

determine a position of a torso region of the person, using an artificial intelligence module trained to determine a presence and a position of the person in at least one image of the time-sequenced plurality of images;

communicate information corresponding to the activity state of the person to the user via the remote notification device.

10. The system of claim 9, wherein the biometric analysis includes determining a movement state of the person by performing an actigraphic analysis of the plurality of uncompressed, time-sequenced images. (0)

11. The system of claim 9, wherein the activity state of the person includes a sleep state. (0)

12. The system of claim 9, wherein the set of instructions are further executable locally by the one or more local processors to determine a respiration pattern of the person. (0)

13. A method for remotely monitoring a sleep state of a human subject, the method comprising: (5) (4)

capturing a plurality of time-sequenced images of a human subject using a digital camera having a digital image sensor, one or more local processors in communication with the digital image sensor, and a memory, wherein the digital image sensor, the one or more local processors, and the memory are enclosed in a same housing, wherein no sensors or markers are attached to the human subject, and wherein the digital camera is articulably attached to a tripod support including a pair of short legs each having a first permanent length and a long leg having a second permanent length at least fifty percent longer than the first permanent length;

determining, using the one or more local processors to execute a machine intelligence module in the memory of the digital camera, a position of a torso region of the human subject, wherein the machine intelligence module is trained to determine a presence and a position of the human subject in at least one image of the time-sequenced plurality of images;

identifying, using the one or more local processors to execute a biometric analysis on an area associated with the torso region in an uncompressed version of the time-sequenced plurality of images, an activity state of the human subject; and

causing a change in a local environment of the human subject based at least in part on the activity state of the human subject.

14. The method of claim 13, wherein the activity state of the human subject includes a sleep state of the human subject. (0)

15. The method of claim 13, wherein executing the biometric analysis includes determining whether the human subject is moving by executing an actigraphic analysis of the time-sequenced plurality of images. (0)

16. The method of claim 13, further including determining a respiration pattern of the human subject. (2) (0)

19. The method of claim 13, wherein determining the position of the torso region of the human subject in the at least one image of the time-sequenced plurality of images includes determining coordinates of the torso region and providing a bounding box generally identifying where the human subject is located. (1) (0)

21. The method of claim 13, wherein determining the position of the torso region of the human subject in the at least one image of the time-sequenced plurality of images includes determining a confidence level with respect to the presence of the human subject in the at least one image. (0)

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Patent US10169662

Remote biometric monitoring system

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