PATENT CLAIM ANALYSIS

Application Number: 16032731
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2020-01
Patent Classification: ["340", "870020"]

Abstract:
A computer-implemented method for learning a model to predict movements of a person in bed is presented. The method includes receiving first data from a plurality of first sensors installed on a bed, receiving second data from a plurality of second sensors installed on the person, and learning a model to predict the second data based on the first data by assuming a sensing range of motion intensity by the plurality of first sensors is greater than a sensing range of motion intensity by the plurality of second sensors.

Claim (Index 17):
The system of  claim 16 , wherein a frequency of an inconsistency between the plurality of first sensors and the plurality of second sensors is assumed to be relatively rare.

Metadata:
- Claim Count in Document: 28.0
- Percentile: 95.0
- Lexical Diversity: 2.325
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['10897488', '15562751', '13231639', '10898116', '11482593']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.683567240198879
- 35 USC 102 Novelty (BERT): 0.4920476002814087
- Combined Prediction Score: 0.664415276207132
- Mean Citation Score: 136.03502799999998
- Max Citation Score: 140.51675
- Similarity Product: 89.73112261785569

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