Infant learning receptivity detection system

• US 10,223,497 B2
• Filed: 04/08/2015
• Issued: 03/05/2019
• Est. Priority Date: 04/05/2015
• Status: Expired due to Fees

• Current Assignee: Sensori.Ai
• Original Assignee: Smilables Inc.
• Inventors: Pradeep, Anantha, Dev, Ratnakar, Robbins, Thomas
• Primary Examiner(s): Gonzales, Vincent
• Application Number:
  US14/681,906
• Publication Number:
  US 20160292576A1
• Time in Patent Office: 1,427 Days
• CPC Class Codes: A61B 2503/04 Babies, e.g. for SIDS detection
• CPC Class Codes: A61B 2560/0242 adapted to measure environmental factors, e.g. temperature, pollution
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 3/0033 characterised by user input arrangements
• CPC Class Codes: A61B 3/113 for determining or recording eye movement
• CPC Class Codes: A61B 5/01 Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue clinical contact thermometers G01K13/20
• CPC Class Codes: A61B 5/0533 Measuring galvanic skin response
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1113 Local tracking of patients, e.g. in a hospital or private home
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/163 by tracking eye movement, gaze, or pupil change
• CPC Class Codes: A61B 5/165 Evaluating the state of mind, e.g. depression, anxiety
• CPC Class Codes: A61B 5/4809 Sleep detection, i.e. determining whether a subject is asleep or not
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: G06N 99/00 Subject matter not provided for in other groups of this subclass
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Provided are mechanisms and processes for more effectively monitoring infants to enhance caregiving and infant development. A system may include an infant monitoring device and a monitoring hub. The infant monitoring device includes sensors that gather measurement data. The monitoring hub receives the measurement data and analyzes the measurement data in relation to a learning receptivity model obtained from a remote platform. The measurement data is analyzed to predict a time and duration when an infant associated with the infant monitoring device will be receptive to learning.

Claims

1. A system comprising:

a first infant monitoring device associated with a plurality of biometric sensors configured to obtain biometric measurement data of an infant associated with the infant monitoring device;

one or more environmental sensors configured to obtain environmental data from at least one of an audio feed and a video feed, the environmental sensors being separate and different from the infant monitoring device and biometric sensors; and

a first monitoring hub configured to;

receive biometric measurement data from the biometric sensors and environmental data from the one or more environmental sensors, and

analyze the biometric measurement data and the environmental data in relation to a learning receptivity model obtained from a remote platform, wherein the remote platform is configured to receive information from a plurality of monitoring hubs associated with a plurality of infant monitoring devices;

wherein the biometric measurement data and environmental data are analyzed to predict;

a time and duration when the infant will be receptive to learning, and

which learning content from a content library is suitable for the infant for the time and duration.

2. The system of claim 1, wherein at least one of the biometric measurement data and the environmental data comprises infant gaze intensity and duration.

3. The system of claim 1, wherein at least one of the biometric measurement data and the environmental data comprises infant position and movement.

4. The system of claim 1, wherein the learning content is customized to a developmental age associated with the infant.

5. The system of claim 1, wherein a developmental age associated with the infant is determined based on the biometric measurement data and the environmental data.

6. The method of claim 1, wherein the biometric measurement data includes motion, temperature, position, and galvanic skin response.

7. A method comprising:

receiving biometric measurement data and environmental data at a monitoring hub,

wherein the biometric measurement data is obtained from a plurality of biometric sensors associated with an infant monitoring device associated with an infant,

wherein the environmental data is obtained from one or more environmental sensors from at least one of an audio feed and a video feed, the environmental sensors being separate and different from the infant monitoring device and the biometric sensors;

analyzing the biometric measurement data and the environmental data in relation to a learning receptivity model obtained from a remote platform, the remote platform configured to receive information from a plurality of monitoring hubs associated with a plurality of infant monitoring devices; and

based on the analyzed biometric measurement data and the analyzed environmental data, predicting;

a time and duration when the infant will be receptive to learning; and

which learning content from a content library is suitable for the infant for the time and duration.

8. The method of claim 7, wherein at least one of the biometric measurement data and the environmental data comprises infant gaze intensity and duration.

9. The method of claim 7, wherein at least one of the measurement data and the environmental data comprises infant position and movement.

10. The method of claim 7, further comprising presenting learning content customized to a developmental age associated with the infant.

11. The method of claim 7, further comprising determining a developmental age associated with the infant based on the biometric measurement data and the environmental data.

12. The method of claim 11, wherein predicting a time and duration is based on the developmental age associated with the infant.

13. The method of claim 7, wherein the biometric measurement data includes motion, temperature, position, and galvanic skin response.

14. The method of claim 7, wherein analyzing the biometric measurement data and the environmental data comprises processing the data into an observation about the infant and comparing the observation to the learning receptivity model.

15. The method of claim 14, wherein the observation includes one of sleep, mobility, stress, position, comfort, health, vigilance, or articulation.

16. The method of claim 7, wherein analyzing the biometric measurement data and the environmental data comprises processing the data into an inference about the infant and comparing the inference to the learning receptivity model.

17. The method of claim 16, wherein the inference includes one of receptivity to learning, infant well-being, presence of caregiver, environmental factors, safety of infant, or emotional state of infant.

18. The method of claim 10, wherein customizing learning content for the infant includes preparing informational material for a caregiver associated with the infant.

19. The method of claim 10, wherein customizing learning content for the infant includes preparing suggestions for a caregiver associated with the infant.

20. The method of claim 7, further comprising presenting learning content customized based on previous learning associated with the infant.