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AI Biotech/Diagnostics: Other Innovation

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Patent US10169662


Issued 2019-01-01

Remote Biometric Monitoring System

Remote biometric monitoring systems may include a digital camera having a digital sensor, a processor, and a memory, all enclosed in a common housing. The processor of the camera may locally execute one or more algorithms to perform computer vision analysis of captured images of a sleeping subject, thereby determining an activity state of the subject. The activity state may include a sleep state. One or more environmental control devices may be adjusted automatically by the system based at least in part on the activity state.



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3 Independent Claims

  • 1. A system for remotely monitoring a sleeping subject, the system comprising: 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.

  • 9. A system for remotely monitoring a sleeping person, the system comprising: 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 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; 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; 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 person; and communicate information corresponding to the activity state of the person to the user via the remote notification device.

  • 13. A method for remotely monitoring a sleep state of a human subject, the method comprising: 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.