PATENT CLAIM ANALYSIS

Application Number: 15875681
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["382", "103000"]

Abstract:
An activity recognition system is disclosed. A plurality of temporal features is generated from a digital representation of an observed activity using a feature detection algorithm. An observed activity graph comprising one or more clusters of temporal features generated from the digital representation is established, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph. At least one contextually relevant scoring technique is selected from similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation, and a similarity activity score is calculated for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph.

Claim (Index 32):
The apparatus of  claim 29 , wherein the activity recognition device is further configured to:\n convert aspects of the digital representation to an observed activity graph; and compare the observed activity graph to known activity graphs.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 86.0
- Lexical Diversity: 2.19718
- Patent Class: 382.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14741830', '14727074', '14379503', '13737687', '15388666']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3368580953993087
- 35 USC 102 Novelty (BERT): 0.5388019315989001
- Combined Prediction Score: 0.3570524790192678
- Mean Citation Score: 199.884274
- Max Citation Score: 373.62054
- Similarity Product: 257.7927156769252

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