PATENT CLAIM ANALYSIS

Application Number: 16184851
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["702", "127000"]

Abstract:
Methods and systems are provided herein for analyzing, monitoring, and/or influencing a user's behavioral gesture in real-time. A gesture recognition method may be provided. The method may comprise: obtaining sensor data collected using at least one sensor located on a wearable device, wherein said wearable device is configured to be worn by a user; and analyzing the sensor data to determine a probability of the user performing a predefined gesture, wherein the probability is determined based in part on a magnitude of a motion vector in the sensor data, and without comparing the motion vector to one or more physical motion profiles.

Claim (Index 18):
The system of  claim 16 , wherein the one or more processors are configured to (1) calculate a pitch angle, roll angle, or yaw angle of the wearable device based on at least the acceleration vector or the angular velocity vector, and (2) determine the likelihood of the user performing the predefined gesture based on the calculated angle(s).

Metadata:
- Claim Count in Document: 75.0
- Percentile: 98.0
- Lexical Diversity: 1.71212
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15603246', '15948259', '14565137', '16020245', '13916741']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2304753067653536
- 35 USC 102 Novelty (BERT): 0.5740542590343141
- Combined Prediction Score: 0.2648332019922497
- Mean Citation Score: 241.555264
- Max Citation Score: 481.09692
- Similarity Product: 362.4983780055142

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test