Detection and identification of a human from characteristic signals

Patent metadata

Field	Value
Publication number	US-10690763-B2
Application number	US-201615562751-A
Country	US
Kind code	B2
Filing date	Apr 20, 2016
Priority date	Apr 20, 2015
Publication date	Jun 23, 2020
Grant date	Jun 23, 2020

Abstract

One or more sensors are configured for detection of characteristics of moving objects and living subjects for human identification or authentication. One or more processors, such as in a system of sensors or that control a sensor, may be configured to process signals from the one or more sensors to identify a person. The processing may include evaluating features from the signals such as breathing rate, respiration depth, degree of movement and heart rate etc. The sensors may be radio frequency non-contact sensors with automated detection control to change detection control parameters based on the identification of living beings, such as to avoid sensor interference.

First claim

The invention claimed is:

1. A physiological parameter monitoring system adapted to identify a person for monitoring of the identified person's physiological parameters, the system including:
one or more sensors for monitoring one or more persons' physiological parameters, and
one or more processors, the one or more processors configured to process signals from the one or more sensors to identify a person, the processing comprising an evaluation of parameters comprising one or more respiratory parameters, cardiac parameters, or movement parameters,
wherein the evaluation of parameters comprises analysis of detected respiration depth,
the one or more processors being further configured to, in response to the evaluation, store locally, or to forward for remote storage, the monitored physiological parameters in association with the person identified from the evaluation,
wherein the one or more processors is configured to operate an enrolment process for initialization of biometric characteristics for identifying the person, wherein the enrolment process comprises scanning of data from a user's sleep session to identify fiducial points in the data and calculate classification features for generation of a biometric signature for the user; and
wherein the evaluation of parameters further comprises an assessment of the generated biometric signature.

2. The system of claim 1 , wherein the monitoring comprises detection of physiological characteristics of the person during sleep, wherein the processing comprises one or more of (a) detection of sleep stages of the person, (b) detection of deep sleep of the person, and (c) detection of REM sleep of the person.

3. The system of claim 1 wherein the monitoring comprises detection of physiological characteristics during awake time of the person.

4. The system of claim 1 wherein the one or more sensors comprises any one or more of:
a radio frequency non-contact sensor;
a biomotion sensor; and
a wearable sensor.

5. The system of claim 1 wherein the evaluation of the one or more processors comprises detection and analysis of any one or more characteristics comprising behavioural characteristics.

6. The system of claim 1 wherein the one or more sensors comprise at least two sensors, and wherein the at least two sensors are configured to minimize interference between the at least two of the one or more sensors.

7. The system of claim 1 wherein the one or more sensors minimize interference by modifying control parameters for range gating pulse timing, emitted power levels of pulses, detection frequency of pulses and/or adjusting positioning of a steerable antenna.

8. The system of claim 7 wherein the one or more sensors are configured to communicate via a wired or wireless link.

9. The system of claim 1 wherein characteristic biometric parameters are applied to dynamically adjust performance of at least one of the one or more sensors in order to optimize physiological recognition of independent human sources, and to reject other sources.

10. The system of claim 1 further comprising a control processor in communication with the one or more sensors, the control processor configured to communicate with the one or more sensors to adjust one or more detection control parameters of the one or more sensors based on an identification of the person, other people, or an animal by the one or more sensors.

11. The system of claim 10 wherein the detection control parameters of the one or more sensors comprises one or more of range gating, centre frequency, and power level.

12. The system of claim 1 further comprising a control processor in communication with the one or more sensors, the control processor configured to activate a further sensor system based on an identification of the person, other people, or an animal by the one or more sensors.

13. The system of claim 12 wherein the further sensor system comprises a camera.

14. The system of claim 1 wherein a processor is configured to log detected biometric characteristics based on the identification of the person to be a previously monitored person.

15. The system of claim 1 wherein a processor is configured to refrain from logging detected biometric characteristics based on the identification of the person to be a not previously monitored person.

16. The system of claim 1 wherein a processor is configured to initialize biometric characteristic detection for a particular person.

17. The system of claim 16 wherein the processor is configured to compare newly detected biometric characteristics to initialized biometric characteristics to identify the particular person.

18. The system of claim 16 wherein the evaluation further comprises a comparison between newly detected biometric characteristics and initialized biometric characteristics.

19. The system of claim 1 wherein the evaluation comprises classification of parameters determined from the signals, the parameters comprising one or more of:
a spectral peak ratio;
a set up Optimiser flag vector;
a peak trough ratio;
a filtered respiration rate;
a breathing variability measure;
an in-band power of a sensor signal;
a range of a sensor signal;
a final respiration rate;
a ratio of maximum to minimum amplitude of a breathing cycle;
a high band power for a sensor signal;
a mean respiration rate;
a periodic leg movement activity detection;
a detection of turnover; and
a post-processed movement.

20. The system of claim 1 wherein the evaluation comprises classification of parameters determined from the signals, the parameters comprising one or more of a cardiac parameter, a galvanic skin response parameter, an exercise intensity parameter, a respiration parameter, a blood pressure parameter, a coughing parameter, a snoring parameter, a sleep parameter.

21. The system of claim 19 wherein the evaluation comprises a comparison of the determined parameters with historic parameters.

22. The system of claim 19 wherein the evaluation further comprises calculating mean and/or standard deviation values for a period of time from the determined parameters.

23. The system of claim 1 wherein one or more processors of the system is configured to evaluate received data detected by one or more sensors from another monitoring system.

24. The system of claim 23 wherein the evaluation of the received data comprises a determination of sensing equivalence between a plurality of health monitoring devices.

25. The system of claim 1 wherein a monitoring device comprises a setup classifier and a subject classifier, each configured to evaluate parameters from the signals to identify a person.

26. The system of claim 25 wherein the subject classifier is further configured to evaluate historic parameters to identify a person.

27. The system of claim 1 wherein a health monitoring device further comprises a camera sensitive to infra-red and an infra-red emitter.

28. The system of claim 27 wherein one or more processors of the health monitoring device are configured to detect an event from the signals and associate the event with a particular portion of a video taken with the camera including the event.

29. The system of claim 27 wherein the health monitoring device further comprises a battery and a coil for wireless charging of the battery.

30. The system of claim 1 wherein the on

Assignees

• Resmed Sensor Tech Ltd

Inventors

• Shouldice Redmond
• Doheny Emer
• Zaffaroni Alberto

Classifications

• G06V40/00

  Recognition of biometric, human-related or animal-related patterns in image or video data · CPC title

• A61B5/117

  Identification of persons (methods or arrangements for recognising patterns, e.g. fingerprints, G06F18/00, G06V40/00; identification of persons by analysing their voice or speech G10L17/00) · CPC title

• G01S13/88

  Radar or analogous systems specially adapted for specific applications (electromagnetic prospecting or detecting of objects, e.g. near-field detection, G01V3/00) · CPC title

• G01S13/87

  Combinations of radar systems, e.g. primary radar and secondary radar · CPC title

• G01S13/56 Primary

  for presence detection {(presence detection using near field arrangements G01V3/00, e.g. G01V3/08, G01V3/12; burglar, theft or intruder alarms with electrical actuation G08B13/22 - G08B13/26)} · CPC title