PATENT CLAIM ANALYSIS

Application Number: 15901764
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-11
Patent Classification: ["706", "020000"]

Abstract:
A user-wearable electronic device includes a housing configured to be worn on a user's torso, a plurality of sensors disposed in the housing, including a first sensor to sense motion of the user and produce raw activities of daily living (ADL) data, and a biometric sensor to sense one or more biometric characteristics of the user. One or more processors in the electronic device or an intermediary device generate, for a sequence of time periods, ADL identification information by processing the raw ADL data using one or more neural networks pre-trained to recognize a predefined set of ADLs. Each pre-trained neural network includes a plurality of neural network layers, including at least one layer that includes a recurrent neural network. Reports that include ADL information corresponding to the generated ADL identification information for time periods in the sequence of time periods are transmitted to a monitoring system.

Claim (Index 13):
The user-wearable device of  claim 1 , wherein the one or more processors is configured to generate the ADL identification information for a respective time period in the sequence of time periods by:\n generating a set of scores, including one or more scores for each ADL in the predefined set of ADLs; in accordance with the generated set of scores, determining a dominant activity for the respective time period, wherein the dominant activity is one of the ADLs in the predefined set of ADLs; in accordance with a determination that the one or more scores for the dominant activity for the respective time period meets predefined criteria, including in the generated ADL identification information for the respective time period information identifying the dominant activity for the respective time period.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 88.0
- Lexical Diversity: 2.0
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15548118', '15542257', '15133344', '13237857', '15499625']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3859443809258462
- 35 USC 102 Novelty (BERT): 0.4889999811830819
- Combined Prediction Score: 0.3962499409515698
- Mean Citation Score: 177.98322199999996
- Max Citation Score: 211.288
- Similarity Product: 149.1951767144203

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