PATENT CLAIM ANALYSIS

Application Number: 16127092
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-01
Patent Classification: ["455", "423000"]

Abstract:
The present teaching relates to human identification based on human radio biometric information in an environment without line-of-sight. In one example, an apparatus for human identification is disclosed. The apparatus comprises a receiver, a processor and a memory communicatively coupled with the processor. The receiver is configured for receiving at least one wireless signal from a multipath channel that is impacted by a person to be identified. The processor is configured for: extracting channel state information (CSI) from the at least one wireless signal, obtaining radio biometric information based on the CSI, wherein the radio biometric information represents how the at least one wireless signal was impacted by at least part of a body of the person, and determining an identity of the person based on the radio biometric information.

Claim (Index 17):
The method of  claim 10 , wherein:\n the at least one wireless signal is received through a network that is at least one of: Internet, an Internet-protocol network, and another multiple access network; and the receiver is associated with a physical layer of at least one of: a wireless PAN, IEEE 802.15.1 (Bluetooth), a wireless LAN, IEEE 802.11 (Wi-Fi), a wireless MAN, IEEE 802.16 (WiMax), WiBro, HiperMAN, mobile WAN, GSM, GPRS, EDGE, HSCSD, iDEN, D-AMPS, IS-95, PDC, CSD, PHS, WiDEN, CDMA2000, UMTS, 3GSM, CDMA, TDMA, FDMA, W-CDMA, HSDPA, W-CDMA, FOMA, 1\u00d7EV-DO, IS-856, TD-SCDMA, GAN, UMA, HSUPA, LTE, 2.5G, 3G, 3.5G, 3.9G, 4G, 5G, 6G, 7G and beyond, another wireless system and another mobile system.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 97.0
- Lexical Diversity: 2.13433
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15584052', '15873806', '16060710', '16101444', '13158586']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6953093235788482
- 35 USC 102 Novelty (BERT): 0.4888327079125744
- Combined Prediction Score: 0.6746616620122209
- Mean Citation Score: 176.903972
- Max Citation Score: 199.8648
- Similarity Product: 140.45356408782004

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