PATENT CLAIM ANALYSIS

Application Number: 16255600
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["340", "573100"]

Abstract:
Systems and methods for the automatic assessment of a person's fall risk. The systems and methods utilize an objective standard and evaluation of a person's gait and stance, among other factors, to determine such person's current instantaneous likelihood of a fall, as well as such person's future fall risk. The systems and methods utilize machine observations and calculations to reduce or eliminate bias and the use of subjective assessment criteria.

Claim (Index 13):
A system for assessing the risk of a human being falling, comprising:\n a plurality of sensors, none of said sensors being in physical contact with said human being; a central sever system communicatively coupled to said plurality of sensors, said central server system comprising a microprocessor and a non-transitory computer-readable medium having computer-executable program instructions thereon which, when executed by said microprocessor, cause said central server to perform the steps of:\n receiving from said plurality of sensors data about said human being gathered by said plurality of sensors; \n extracting from said received data about said human being a plurality of data features; \n determining a fall risk for said human being based at least in part on said extracted data features.

Metadata:
- Claim Count in Document: 18.0
- Percentile: 99.0
- Lexical Diversity: 1.73913
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15248810', '13551540', '14543887', '11671770', '15350100']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.65349774187699
- 35 USC 102 Novelty (BERT): 0.5054949451203352
- Combined Prediction Score: 0.6386974622013245
- Mean Citation Score: 170.819406
- Max Citation Score: 292.55646
- Similarity Product: 275.8527247983027

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