PATENT CLAIM ANALYSIS

Application Number: 16132598
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["345", "156000"]

Abstract:
A method implemented by a computing device having a memory and a motion sensor detection sensor is disclosed. The memory stores an input model associated with a gesture input. The method includes detecting a motion of the computing device; matching the detected motion with the input model; and determining a confidence level associated with the match. If the confidence level is above a pre-determined threshold, an action associated with the gesture input is performed automatically by the processor; and if the confidence level is below the pre-determined threshold, the action is performed by the processor responsive to receiving a positive confirmation of the gesture input.

Claim (Index 1):
A method implemented by a computing device having a memory and a motion detection sensor, the memory storing an input model associated with a gesture input, the method comprising:\n detecting a motion of the computing device; matching the detected motion with the input model; determining a confidence level associated with the match; if the confidence level is above a pre-determined threshold, performing an action associated with the gesture input; and if the confidence level is below the pre-determined threshold, performing the action responsive to receiving a positive confirmation of the gesture input.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 97.0
- Lexical Diversity: 2.23529
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13903206', '15347524', '15389742', '13449782', '14591603']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6045395713172247
- 35 USC 102 Novelty (BERT): 0.5051371292424877
- Combined Prediction Score: 0.594599327109751
- Mean Citation Score: 151.6098852
- Max Citation Score: 273.43463
- Similarity Product: 200.4296808829093

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