PATENT CLAIM ANALYSIS

Application Number: 16243611
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-05
Patent Classification: ["307", "104000"]

Abstract:
Embodiments of the present disclosure describe techniques for reducing human exposure to wireless energy in wireless power delivery environments. In some embodiments, a wireless power reception apparatus configured to receive wireless power from a wireless charging system in a wireless power delivery environment is disclosed. The wireless power reception apparatus includes a control system and an antenna array. In some embodiments, the control system is configured to dynamically adjust transmission and reception radiation patterns of the antenna array to reduce human exposure to wireless radio frequency (RF) energy.

Claim (Index 20):
The electronic device of  claim 19 , wherein the control system is further adapted to:\n detect one or more full or partial blockages of radiation patterns associated with the multiple antennas,\n wherein each of the multiple antennas have a corresponding radiation pattern that is adjustable over amplitude and phase by the control system, \n wherein the radiation patterns collectively comprise the cumulative radiation pattern, and \n wherein the cumulative radiation pattern is adjusted based on the one or more full or partial blockages.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.84615
- Patent Class: 307.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15881983', '14988010', '15293748', '15682920', '15092026']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.807542518070793
- 35 USC 102 Novelty (BERT): 0.5481850281222881
- Combined Prediction Score: 0.7816067690759425
- Mean Citation Score: 290.509146
- Max Citation Score: 397.62833
- Similarity Product: 390.1565592330778

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

Dataset: test