PATENT CLAIM ANALYSIS

Application Number: 16071336
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-06
Patent Classification: ["340", "573100"]

Abstract:
The present invention relates to a fall detection method and system. The fall detection method comprises: receiving, by a first receiving antenna, a first WiFi signal stream propagating through an environment; receiving, by a second receiving antenna, a second WiFi signal stream propagating through the environment; determining a physical layer Channel State Information (CSI) stream, namely, a first CSI stream, of the first WiFi signal stream; determining a physical layer CSI stream, namely, a second CSI stream, of the second WiFi signal; determining a phase difference, namely, a CSI phase difference, between respective phase of the physical layer CSI stream of the first WiFi signal stream and the physical layer CSI stream of the second WiFi signal stream at the same time point, to form a CSI phase difference stream; and determining, according to the CSI streams and the CSI phase difference stream, a fall event.

Claim (Index 3):
The fall detection method according to  claim 2 , further comprising determining if a raw CSI phase difference signal and a filtered CSI phase difference signal are in a fluctuation state or a stable state by using a threshold-based sliding window method; and\n for the raw CSI phase difference signal and the filtered CSI phase difference signal, detecting the transition from the fluctuation state to the stable state, and determining a finishing reference point of fall and fall-like activities by checking if the two signals enter the stable state and based on a time difference between the raw CSI phase difference signal and the filtered CSI phase difference signal when entering the stable state.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 95.0
- Lexical Diversity: 3.30769
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16060710', '15611545', '15760230', '13856134', '10985400']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5950823818555127
- 35 USC 102 Novelty (BERT): 0.5056251830921765
- Combined Prediction Score: 0.586136661979179
- Mean Citation Score: 147.68193399999996
- Max Citation Score: 162.82071000000005
- Similarity Product: 100.73743007563952

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