PATENT CLAIM ANALYSIS

Application Number: 15948259
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-10
Patent Classification: ["345", "156000"]

Abstract:
The present disclosure provides a wearable computing device. The wearable computing device includes one or more sensors that output sensor data. The wearable computing device includes a machine-learned smoking gesture detection model trained to detect a smoking gesture based on the sensor data. The wearable computing device includes one or more processors and one or more non-transitory computer-readable media that store instructions that, when executed by the one or more processors, cause the one or more processors to perform operations. The operations include inputting the sensor data into the machine-learned smoking gesture detection model. The operations include receiving, as an output of the machine-learned smoking gesture detection model, a gesture classification that indicates whether the sensor data is indicative of the smoking gesture. The operations include determining whether a user of the wearable computing device is engaging in a smoking session based at least in part on the gesture classification.

Claim (Index 3):
The wearable computing device of  claim 1 , wherein\n inputting the sensor data into the machine-learned smoking gesture detection model comprises:\n obtaining a plurality of sets of sensor data respectively for a plurality of time periods; and \n respectively inputting the plurality of sets of the sensor data into the machine-learned smoking gesture detection model; \n receiving the gesture classification comprises receiving, as an output of the machine-learned smoking gesture detection model, a plurality of gesture classifications that respectively indicate whether the plurality of sets of sensor data are respectively indicative of the smoking gesture; and determining whether the user of the wearable computing device is engaging in the smoking session comprises determining whether the user of the wearable computing device is engaging in the smoking session based at least in part on the plurality of gesture classifications.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 91.0
- Lexical Diversity: 2.55556
- Patent Class: 345.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15603246', '15393611', '15469981', '15084743', '15805886']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.665725129721059
- 35 USC 102 Novelty (BERT): 0.4910385688730903
- Combined Prediction Score: 0.6482564736362622
- Mean Citation Score: 192.86066
- Max Citation Score: 206.69208
- Similarity Product: 144.31027632727145

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test