IP Library Granted Patent US 10,285,636
Granted Patent B2
US 10,285,636 · App. 15/353,464 · Granted May 14, 2019

Apparatus and method for detecting bruxism

Inventor: Brian Singer (Armonk, NY)
Assignee: Half Mile Technologies, Inc.
A61B5/4557A61B5/0476A61B5/0488A61B5/1128G06T7/0016A61B2576/02G06T2207/10016G06T2207/10024G06T2207/30036
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 10,285,636
App. No.
15/353,464
Granted
May 14, 2019
Kind
B2
Abstract

Described herein is an apparatus and method of detecting bruxism. The method includes the steps of: capturing a video of a subject, performing by circuitry included in the apparatus, spatial filtering of each image frame included in the captured video. Further, the method includes generating by circuitry, a filtered image by temporally filtering the spatially filtered image frames, the temporally filtered image including data belonging in a first frequency range, and wherein a subset of data is associated with a predetermined color variation to indicate presence of bruxism in the subject.

Claims (10)

1. A method of detecting bruxism, comprising:

capturing a video of a face of a subject;

performing by circuitry, spatial filtering of each image frame included in an optical portion of the captured video; and

generating by the circuitry, a filtered image by temporally filtering the spatially filtered image frames of the optical portion of the captured video, the temporally filtered image including data belonging in a first frequency range that is within a subset of image frequencies associated with a predetermined color variation to optically detect clenching of muscles in the face that indicate presence of bruxism in the subject.

2. The method according to claim 1 , wherein the subset of image frequencies is between 0.1 and 1.5 hertz (Hz).

3. The method according to claim 1 , wherein the temporally filtered image uses a Eulerian Video Magnification technique for filtering the captured video.

4. A method of detecting bruxism, comprising:

capturing a video of a face of a subject;

performing by circuitry, spatial filtering and temporal filtering of each image frame included in an optical portion of the captured video; and

generating, by the circuitry, a filtered image based on the temporal filtering and spatial filtering, wherein the filtered image includes data belonging in a first frequency range that is within a subset of image frequencies associated with a predetermined color variation to optically detect clenching of muscles in the face that indicate presence of bruxism in the subject.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 16, 2016
From: SINGER, BRIAN
To: HALF MILE TECHNOLOGIES, INC.
Reel/Frame 040347/0687 →
Continuity (2)
Provisional Application 62256087 · Nov 16, 2015
Related Publication 20170135626A1 · May 18, 2017