PATENT CLAIM ANALYSIS

Application Number: 15960003
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["340", "573300"]

Abstract:
An electronic monitoring device for attaching to an animal includes an NFC module facilitating wireless communication between a smart phone and the monitoring device, an accelerometer for monitoring acceleration of the head of the animal, and a microprocessor which determines various states of the animal from signals received from the accelerometer. The smart phone is programmed by a software application which allows an identifying code of the monitoring device to be read from the memory chip and cross-referenced in the smart phone with the identity of an animal, which can be inputted into the smart phone. Data relating to the states(s) of the animal can be read from the microprocessor through the NFC module into the smart phone. Additionally, data relating to the animal stored in a cloud server corresponding to the state or states of the animal is downloaded from the cloud server by the smart phone.

Claim (Index 17):
The combination as claimed in  claim 16  in which the electronic device comprises a signal processor, and the low energy NFC communications module is configured to wirelessly communicate the external powered smart mobile device with the signal processor.

Metadata:
- Claim Count in Document: 53.0
- Percentile: 91.0
- Lexical Diversity: 2.27143
- Patent Class: 340.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14897421', '14897496', '14897483', '13627079', '14733607']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.708100542215254
- 35 USC 102 Novelty (BERT): 0.5503047488879191
- Combined Prediction Score: 0.6923209628825204
- Mean Citation Score: 220.36926
- Max Citation Score: 389.23306
- Similarity Product: 322.0198696834135

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