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 29):
An activity recognition apparatus comprising:\n at least one sensor device configured to generate a digital representation of an environment of activity according to one or more sensing modalities; a memory storing known activity data objects, wherein each known activity data object relates to a known activity and includes similarity scoring techniques and clustered features; and an activity recognition device electronically coupled with the sensor and the memory and having a processor, wherein, upon execution of software instructions stored on a non-transitory computer readable medium, the processor is configured to:\n generate a plurality of features from the digital representation using at least one feature detection algorithm; \n establish an observed activity data object comprising one or more observed feature clusters generated from the plurality of features; \n calculate a similarity activity score for the observed activity data object relative to at least one of the known activity data objects as a function of the similarity scoring techniques that are contextually relevant to the environment, the clustered features, and the observed feature clusters; \n access an activity recognition results set as a function of the similarity activity score; and \n initiate an action regarding the environment based on the activity recognition results set.

Metadata:
- Claim Count in Document: 14.0
- Percentile: 86.0
- Lexical Diversity: 2.19718
- Patent Class: 382.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14741830', '14727074', '14379503', '13737687', '15388666']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3094195737358845
- 35 USC 102 Novelty (BERT): 0.5367302615810592
- Combined Prediction Score: 0.332150642520402
- Mean Citation Score: 199.884274
- Max Citation Score: 373.62054
- Similarity Product: 318.1149204930496

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