PATENT CLAIM ANALYSIS

Application Number: 16072870
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["340", "573100"]

Abstract:
A system for monitoring and private assistance to people includes sensors that detect descriptive parameters of environmental conditions, and sensors and/or devices that monitor a person's position and, optionally, her physiological parameters. In particular, the system includes sensors and/or devices that monitor a person's position at the topological level and generate tracking signals in time and within a digital topological model of the environment; sensors that monitor posture and/or its variations in time and that provide status signals corresponding to predetermined postures and/or signals, indicating posture variations in time, which are processed by a logic control unit and software that evaluates position and posture and its variation in time and that classifies the signals according to predetermined categories of motor and/or postural activities, and that performs a comparison between detected parameters and predefined patterns of execution.

Claim (Index 10):
A method for monitoring and carrying out private assistance of people of all ages, in situations where the people cannot be considered as independent, the method comprising:\n a. generating a taxonomic data structure populated with symbols, combinations of symbols, or temporal sequences of the symbols which refer to various types of models, and which require data on a position of an assisted person related to behaviors in a predetermined environment, movements or displacements of the assisted person in the predetermined environment, the posture of the assisted person, or the changes in the posture in carrying out activities; b. representing and managing the symbols, the combinations of the symbols, or temporal sequences of the symbols related to the activities of daily life, both simple and composed by different actions or postures together the time information and information about all relevant locations; c. generating a virtual map of an environment in which the assisted person is present and a representation of the environment in the taxonomic data structure using the symbols or combinations of the symbols; d. determining position or tracking movements of the assisted person with reference to time, and determining the posture the changes of the posture of the assisted person in time; e. generating a behavioral model of the assisted person from data provided by sensors and represented by the symbols, the combinations of the symbols, or the temporal sequences of the symbols in the taxonomic data structure; f. classifying tipology of behavior and adequacy of the behavior of the assisted person compared to normative patterns of the behavior represented in the taxonomic data structure; g. performing step f, but in relation to sequences or compositions of the actions as defined in point b; h. generating and issuing audio or visual communications to assistance personnel or to the assisted person according to a type of the behavior detected during classification and to appropriateness of the behavior with normative behavior patterns represented in the taxonomic data structure; and generating, issuing, and managing, by a classification algorithm, suitable vocal dialogues such that that the classification algorithm enables, by analyzing feedback, an improvement in a monitoring of the assisted person, inferring her state of health, recognizing an existence of dangerous situations, or identifying most important needs case of a rescue operation.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 95.0
- Lexical Diversity: 1.89744
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15562751', '09808848', '10678773', '14128574', '15276804']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6396100515084057
- 35 USC 102 Novelty (BERT): 0.5107506928770712
- Combined Prediction Score: 0.6267241156452722
- Mean Citation Score: 112.61811000000002
- Max Citation Score: 130.41971
- Similarity Product: 67.50759729056955

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test