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 21):
The user-wearable device of  claim 1 , wherein the successive time periods each have a duration of no more than 30 seconds, and the predefined times at which the transmitter transmits reports for the user occur at intervals of no less than 5 minutes.

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): 0.3826111894077345
- 35 USC 102 Novelty (BERT): 0.5033255643221427
- Combined Prediction Score: 0.3946826268991753
- Mean Citation Score: 177.98322199999996
- Max Citation Score: 211.288
- Similarity Product: 124.93649831247328

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