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 8):
The method of  claim 7 , further comprising:\n receiving at said central server system from said plurality of sensors additional data about said human being gathered by said plurality of sensors; said central server system extracting from said received additional data about said human being a second plurality of data features; said central server system determining a second fall risk for said human being based at least in part on said second extracted data features, and at least in part on said extracted data features in said data record of said non-transitory computer-readable medium.

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): 0.6529290638341305
- 35 USC 102 Novelty (BERT): 0.5092937581533292
- Combined Prediction Score: 0.6385655332660505
- Mean Citation Score: 170.819406
- Max Citation Score: 292.55646
- Similarity Product: 257.8222055001247

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

Dataset: test