PATENT CLAIM ANALYSIS

Application Number: 15865920
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["706", "012000"]

Abstract:
A machine learning device, which learns shocks to a teaching device, includes a state observation unit which observes data based on an inclination of the teaching device or a present position of the teaching device; a label obtaining unit which obtains a label based on a shock received by the teaching device; and a learning unit which generates a learning model based on an output of the state observation unit and an output of the label obtaining unit.

Claim (Index 2):
The machine learning device according to  claim 1 , wherein\n the state observation unit further observes data based on at least one of speed at which buttons of the teaching device are pressed, content of an operation involving the teaching device, length of time of the operation, a time zone of the operation, and an identity of an operator of the teaching device.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 86.0
- Lexical Diversity: 2.18421
- Patent Class: 706.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15368753', '15637777', '15782371', '15628641', '15609336']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3934534151732434
- 35 USC 102 Novelty (BERT): 0.4754172969448219
- Combined Prediction Score: 0.4016498033504012
- Mean Citation Score: 138.102476
- Max Citation Score: 157.62407
- Similarity Product: 110.25034618944406

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