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 4):
The wearable computing device of  claim 3 , wherein 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 comprises determining whether the user of the wearable computing device is engaging in the smoking session based at least in part on at least one of:\n a number of puffs exhibited by the plurality of gesture classifications; a frequency associated with the puffs; and one or more durations respectively associated with one or more of the puffs.

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): 0.6634718760507221
- 35 USC 102 Novelty (BERT): 0.5012275710594554
- Combined Prediction Score: 0.6472474455515954
- Mean Citation Score: 192.86066
- Max Citation Score: 206.69208
- Similarity Product: 127.9017088408184

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