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 10):
The wearable computing device of  claim 11 , wherein extracting the one or more features comprises computing one or more of:\n an average of accelerometer data in an X physical dimension, accelerometer data in a Y physical dimension, and accelerometer data in a Z physical dimension; one or more transformations in a frequency domain of one or more of: the accelerometer data in the X physical dimension, the accelerometer data in the Y physical dimension, the accelerometer data in the Z physical dimension, and the average in a frequency domain; and one or more statistics derived from one or more of the accelerometer data in the X physical dimension, the accelerometer data in the Y physical dimension, the accelerometer data in the Z physical dimension, and the average.

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): 0.6688680037405307
- 35 USC 102 Novelty (BERT): 0.4767842270631054
- Combined Prediction Score: 0.6496596260727882
- Mean Citation Score: 192.86066
- Max Citation Score: 206.69208
- Similarity Product: 167.28882494616508

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