PATENT CLAIM ANALYSIS

Application Number: 15979717
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-11
Patent Classification: ["463", "020000"]

Abstract:
A method of operating an electronic gaming machine includes providing a predictive model of an emotional state of a player of the electronic gaming machine, obtaining biometric data associated with the player, and analyzing the biometric data to detect an emotional state of the player. The method detects occurrence of a game play event of the electronic device, generates a predicted emotional state of the player as a result of the occurrence of the game play event, and modifies an aspect of a game play experience of the electronic gaming machine based on the predicted emotional state of the player in response to the game play event.

Claim (Index 1):
A computer-implemented method, comprising:\n providing a predictive model of an emotional state of a player of an electronic gaming machine, wherein the predictive model comprises a plurality of input parameters associated with operation of the electronic gaming machine by the player; obtaining, via a biometric data input device, biometric data associated with the player while the player is engaged in using the electronic gaming machine; analyzing the biometric data to detect an emotional state of the player while the player is engaged in using the electronic gaming machine; providing the detected emotional state of the player as an input parameter to the predictive model; detecting a triggering of an occurrence of a game play event of the electronic gaming machine, wherein the game play event is associated with one of the input parameters of the predictive model; generating, via the predictive model and prior to execution of the game play event, a predicted emotional state of the player as a result of the occurrence of the game play event; and modifying an aspect of a game play experience of the electronic gaming machine based on the predicted emotional state of the player.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 93.0
- Lexical Diversity: 2.45652
- Patent Class: 463.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12111760', '14451004', '13895972', '13354709', '15720440']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3896392027938463
- 35 USC 102 Novelty (BERT): 0.4668982958385269
- Combined Prediction Score: 0.3973651120983144
- Mean Citation Score: 245.07309
- Max Citation Score: 253.6336
- Similarity Product: 219.17869685668944

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

Dataset: test