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 14):
The user-wearable device of  claim 13 , wherein the one or more processors are further configured to generate the ADL identification information for a respective time period in the sequence of time periods by:\n in accordance with a determination that the one or more scores for the dominant activity for the respective time period do not meet the predefined criteria, including in the generated ADL identification information for the respective time period information indicating that the user's activity during the respective time period has not been classified as any of the ADLs in the predefined set of ADLs.

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): 0.3837479224444592
- 35 USC 102 Novelty (BERT): 0.4984343763591816
- Combined Prediction Score: 0.3952165678359315
- Mean Citation Score: 177.98322199999996
- Max Citation Score: 211.288
- Similarity Product: 133.21818358516694

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