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 1):
A user-wearable electronic device, for monitoring user activities of daily living (ADL), comprising:\n a housing configured to be worn on a user's torso; a plurality of sensors disposed in the housing, including a first sensor to produce raw ADL data, and a biometric sensor configured to sense one or more biometric characteristics of the user and generate corresponding biometric data; one or more processors, disposed in the housing and coupled to the one or more sensors, configured to:\n for each time period in a sequence of successive time periods,\n generate ADL identification information for the time period by processing the raw ADL data produced by the first sensor using one or more neural networks pre-trained to recognize a predefined set of ADLs, the pre-trained one or more neural networks each including a plurality of neural network layers, at least one layer of the plurality of neural network layers comprising a recurrent neural network, wherein an output of the one or more neural networks for each time period corresponds to the generated ADL identification information for the time period; and \n \n a transmitter, disposed in the housing and coupled to at least one of the one or more processors, to transmit, at predefined times, reports for the user, wherein a respective report for the user includes ADL information corresponding to the generated ADL identification information for one or more time periods in the sequence of time periods.

Metadata:
- Claim Count in Document: 80.0
- Percentile: 88.0
- Lexical Diversity: 2.0
- Patent Class: 706.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15548118', '15542257', '15133344', '13237857', '15499625']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3571887420394014
- 35 USC 102 Novelty (BERT): 0.491086336865256
- Combined Prediction Score: 0.3705785015219868
- Mean Citation Score: 177.98322199999996
- Max Citation Score: 211.288
- Similarity Product: 141.77052105712892

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