PATENT CLAIM ANALYSIS

Application Number: 16284309
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-09
Patent Classification: ["381", "056000"]

Abstract:
A system for monitoring dietary activity of a user includes a wearable device having at least one audio input unit configured to record an audio sample corresponding to audio from a user's neck. The system further includes a processor configured to execute programmed instructions stored in a memory to obtain an audio sample from the audio input unit of a wearable device, determine segmental feature values of a set of selected features from the audio sample by extracting short-term features in the set of selected features from the audio sample and determining the segmental feature values of the set of selected features from the extracted short-term features. The processor is further configured to, using a classifier, classify a dietary activity based on the determined segmental feature values of the audio sample and generate an output corresponding to the classified dietary activity.

Claim (Index 18):
The method of  claim 17 , wherein:\n the classifier is one of a random forest, a gaussian mixture model, a linear discriminant analysis, a Naive Bayes, a decision tree, and a k-nearest neighbor classifier; the determining of the segmental feature values further comprises:\n segmenting the extracted short-term features into segments of a predetermined duration; and \n applying statistical functions to the extracted short-term features in each segment; \n the short-term features include one or more of: at least one MFCC coefficient, a delta of at least one MFCC coefficient, a delta-delta of at least one MFCC coefficient, energy entropy, short-term energy, zero crossing rate, spectral flux, spectral crest, spectral skewness, spectral centroid, spectral slope, spectral decrease, spectral spread, spectral rolloff, and spectral flatness; and the statistical functions include one or more of mean, median, standard deviation, skewness, kurtosis, maximum, and minimum.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.3125
- Patent Class: 381.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15215259', '15484610', '15808901', '12097198', '16113214']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7187695191007601
- 35 USC 102 Novelty (BERT): 0.4952553849551646
- Combined Prediction Score: 0.6964181056862006
- Mean Citation Score: 167.16780599999996
- Max Citation Score: 171.22983
- Similarity Product: 105.88884964582088

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

Dataset: test