PATENT CLAIM ANALYSIS

Application Number: 16221012
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-04
Patent Classification: ["073", "379010"]

Abstract:
The methods and apparatuses presented herein determine and/or improve the quality of one or more physiological assessment parameters, e.g., response-recovery rate, based on biometric signal(s) and/or motion signal(s) respectively output by one or more biometric and/or motion sensors. The disclosed methods and apparatuses also estimate a user's stride length based on a motion signal and a determined type of user motion, e.g., walking or running. The speed of the user may then be estimated based on the estimated stride length.

Claim (Index 1):
An assessment generation system configured to determine a physiological assessment parameter associated with a user via at least one biometric sensor and at least one motion sensor comprised in an activity monitoring device disposed proximate the user such that at least the biometric sensor contacts a user's skin, the assessment generation system comprising:\n a motion processing circuit configured to process a motion signal output by the at least one motion sensor over a first period of time to determine a physical activity parameter for the user over the first period of time; a biometric processing circuit configured to process a biometric signal output by the at least one biometric sensor over the first period of time to determine a biometric parameter for the user over the first period of time; and an assessment processing circuit configured to:\n process the physical activity parameter to determine one or more time periods wherein the physical activity parameter is within a specific range of values; and \n process the biometric parameter during the time periods wherein the physical activity parameter is within the specific range of values to determine the physiological assessment parameter for the user.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 98.0
- Lexical Diversity: 1.82692
- Patent Class: 73.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15690940', '15120766', '14481020', '15670554', '14655992']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6603469576585107
- 35 USC 102 Novelty (BERT): 0.5330483009154416
- Combined Prediction Score: 0.6476170919842038
- Mean Citation Score: 248.402828
- Max Citation Score: 359.94507000000016
- Similarity Product: 318.45108420647813

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

Dataset: test