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 23):
The user-wearable device of  claim 1 , wherein the one or more processors are configured to store the raw ADL data for one or more of the time periods in the sequence of time period, and to initiate transmission of the stored raw ADL data to the target system using the transmitter.

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): 0.3843622377117534
- 35 USC 102 Novelty (BERT): 0.4957931977207176
- Combined Prediction Score: 0.3955053337126498
- Mean Citation Score: 177.98322199999996
- Max Citation Score: 211.288
- Similarity Product: 137.69027323055272

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