PATENT CLAIM ANALYSIS

Application Number: 16043965
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["382", "103000"]

Abstract:
A method and system for detecting a fall risk condition, the system comprising a surveillance camera configured to generate a plurality of frames showing an area in which a patient at risk of falling is being monitored, and a computer system comprising memory and logic circuitry configured to store motion feature patterns that are extracted from video recordings, the motion feature patterns are representative of motion associated with real alarm cases and false-alarm cases of fall events, receive a fall alert from a classifier, determine motion features of one or more frames from the plurality of frames that correspond to the fall alert; compare the motion features of the one or more frames with the motion feature patterns, and determine whether to confirm the fall alert based on the comparison.

Claim (Index 17):
The method of  claim 15  further comprising calculating the bed motion percentage by calculating a ratio of motion pixels from a given motion image within a virtual bed zone to a total pixel count in the virtual bed zone.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 95.0
- Lexical Diversity: 1.94366
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15824552', '12151452', '13429101', '14321427', '15830268']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3124428662865778
- 35 USC 102 Novelty (BERT): 0.5563799968841622
- Combined Prediction Score: 0.3368365793463362
- Mean Citation Score: 286.312224
- Max Citation Score: 440.41193
- Similarity Product: 297.5485178973269

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

Dataset: test