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 17):
The method of  claim 12 , wherein the set of selected features and classifier parameters for the classifier are determined in a machine-learning training process.

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): 0.7177181534806276
- 35 USC 102 Novelty (BERT): 0.5002213004485219
- Combined Prediction Score: 0.6959684681774171
- Mean Citation Score: 167.16780599999996
- Max Citation Score: 171.22983
- Similarity Product: 100.43481550489425

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