IP Library Granted Patent US 11,176,444
Granted Patent B2
US 11,176,444 · App. 17/088,428 · Granted Nov 16, 2021

Model optimization and data analysis using machine learning techniques

Inventors: Dennis Wall (Palo Alto, CA); Sharief Khalil Taraman (Palo Alto, CA); Brent Vaughan (Palo Alto, CA); Abdelhalim Abbas (San Jose, CA)
Assignee: COGNOA, INC.
G06N3/0454G06K9/6227G06K9/6228G06N3/02G06N3/08G06N20/00G06K9/6262
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 11,176,444
App. No.
17/088,428
Filed
Nov 3, 2020
Granted
Nov 16, 2021
Kind
B2
Art Unit
2665
USPC
706/14
Abstract

Disclosed herein are platforms, systems, devices, methods and media for model optimization and data analysis using machine learning. Input data can be processed and analyzed to identify relevant discriminating features, which can be modeled using a plurality of machine learning models. A computing device can be configured with one or more optimized models for categorizing input data.

Claims (30)

1. A device for assessing and providing treatment to an individual with respect to a behavioral disorder, a developmental delay, or a neurologic impairment, said device comprising:

a processor;

a non-transitory computer-readable medium that stores a computer program configured to cause said processor to:

(a) receive an input for said individual related to said behavioral disorder, said developmental delay, or said neurologic impairment;

(b) determine that said individual has an indication of a presence of said behavioral disorder, said developmental delay, or said neurologic impairment using a trained classifier module of said computer program that is trained using data from a plurality of individuals having said behavioral disorder, said developmental delay, or said neurologic impairment;

(c) determine, using a machine learning model that is generated by said computer program, that said behavioral disorder, said developmental delay, or said neurologic impairment that said individual has said indication of said presence will be improved by a digital therapy that promotes social reciprocity;

(d) provide, using a mobile computing device comprising a smartphone, a tablet computer, a laptop, a smartwatch, or a wearable computing device, a digital therapy that promotes social reciprocity to said individual when it is determined that said behavioral disorder, said developmental delay, or said neurologic impairment will be improved by said digital therapy, said digital therapy comprising an augmented reality experience; and

(e) obtain, using a camera of said mobile computing device, a video or an image of a person interacted with by said individual in said augmented reality experience.

2. The device of claim 1 , wherein said machine learning model determines a degree of improvement that will be achieved by said digital therapy.

3. The device of claim 1 , wherein said processor is configured with further instructions to determine an emotion associated with said person using an image analysis module to analyze said video or said image.

4. The device of claim 3 , wherein said image analysis module comprises a facial recognition module for detecting the face of said person within said video or image.

5. The device of claim 4 , wherein said image analysis module comprises a classifier trained using machine learning to categorize said face as exhibiting said emotion.

6. A device for assessing and providing treatment to an individual with respect to a behavioral disorder, a developmental delay, or a neurologic impairment, said device comprising:

a processor;

a non-transitory computer-readable medium that stores a computer program configured to cause said processor to:

(a) receive an input for said individual related to said behavioral disorder, said developmental delay, or said neurologic impairment;

(b) determine that said individual has an indication of a presence of said behavioral disorder, said developmental delay, or said neurologic impairment using a trained classifier module of said computer program that is trained using data from a plurality of individuals having said behavioral disorder, said developmental delay, or said neurologic impairment;

(c) determine, using a machine learning model that is generated by said computer program, that said behavioral disorder, said developmental delay, or said neurologic impairment that said individual has said indication of said presence will be improved by a digital therapy that promotes social reciprocity;

(d) provide a digital therapy that promotes social reciprocity to said individual when it is determined that said behavioral disorder, said developmental delay, or said neurologic impairment will be improved by said digital therapy, said digital therapy comprising a virtual reality experience comprising a displayed virtual person or character; and

(e) determine an emotion expressed by said virtual person or character within said virtual reality experience.

7. The device of claim 6 , wherein a description of said emotion is displayed to said individual in real time within said virtual reality experience by either printing said description on a screen of a mobile computing device or by sounding said description through an audio output coupled with said mobile computing device.

8. The device of claim 6 , wherein said computer program is further configured to cause said processor to use an image analysis module comprising a facial recognition module for detecting a face of said virtual person or character within said video or image.

9. The device of claim 8 , wherein said image analysis module comprises a classifier trained using machine learning to categorize said face as exhibiting said emotion.

10. The device of claim 6 , wherein said machine learning model determines a degree of improvement that will be achieved by said digital therapy.

11. The device of claim 6 , wherein said computer program is further configured to cause said processor to provide instructions with said digital therapy for said individual to engage in an activity mode.

12. The device of claim 11 , wherein said activity mode comprises an emotion elicitation activity, an emotion recognition activity, or unstructured play.

13. The device of claim 12 , wherein a therapeutic agent is provided to said individual together with said digital therapy.

14. The device of claim 1 , wherein said device comprises said mobile computing device.

15. The device of claim 6 , wherein said device comprises a mobile computing device.

16. The device of claim 15 , wherein said mobile computing device is a smartphone, a tablet computer, a laptop, a smartwatch, or a wearable computing device.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 4, 2021
From: WALL, DENNIS; TARAMAN, SHARIEF KHALIL; VAUGHAN, BRENT; ABBAS, ABDELHALIM
To: COGNOA, INC.
Reel/Frame 057076/0275 →
Continuity (3)
Continuation PCTUS2020024029 · Mar 20, 2020
Provisional Application 62822186 · Mar 22, 2019
Related Publication 20210133509A1 · May 6, 2021
Cited By (5)
US 12,205,725 US 12,402,840 US 12,564,342 US 12,620,008 US 12,711,418