PATENT CLAIM ANALYSIS

Application Number: 16405946
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["340", "010100"]

Abstract:
Systems and methods to determine motion parameters of physical objects using radio frequency identification (RFID) tags attached to the objects. In one embodiment, a method implemented in a radio frequency identification (RFID) system includes determining a motion parameter of the RFID tag based on detecting a Doppler frequency shift in a radio frequency signal received from the RFID tag.

Claim (Index 13):
A system, comprising:\n a plurality of devices in a field, each of the devices having a unique identification amount the plurality of devices; and a reader, including:\n a transceiver coupled with an antenna; \n an oscillator to generate a signal; \n a modulator coupled between the oscillator and the transceiver to modulate the signal transmitted via the antenna; \n a modulation remover coupled with the transceiver to remove modulations from a reflected version of the signal received in the transceiver and generate a modulation-free version of the signal received in the transceiver; \n a frequency detector coupled with the modulation remover to determine a Doppler frequency shift between the signal generated by the oscillator and modulation-free version of the signal received in the transceiver; and \n wherein the reader determines an identity of a device, among the plurality of devices, reflecting the signal transmitted via the antenna and a position of the device based on the Doppler frequency shift, wherein the identity of the device is determined based at least in part on modulations produced by the modulator on the signal transmitted via the antenna.

Metadata:
- Claim Count in Document: 41.0
- Percentile: 100.0
- Lexical Diversity: 1.57143
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15295103', '12134103', '13533890', '14132482', '12134106']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6788771507854133
- 35 USC 102 Novelty (BERT): 0.5561551983085001
- Combined Prediction Score: 0.666604955537722
- Mean Citation Score: 314.60557
- Max Citation Score: 393.36127
- Similarity Product: 373.78933106171183

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