PATENT CLAIM ANALYSIS

Application Number: 16265798
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["345", "156000"]

Abstract:
Systems and methods for detecting, representing, and interpreting three-space input are described. Embodiments of the system, in the context of an SOE, process low-level data from a plurality of sources of spatial tracking data and analyze these semantically uncorrelated spatiotemporal data and generate high-level gestural events according to dynamically configurable implicit and explicit gesture descriptions. The events produced are suitable for consumption by interactive systems, and the embodiments provide one or more mechanisms for controlling and effecting event distribution to these consumers. The embodiments further provide to the consumers of its events a facility for transforming gestural events among arbitrary spatial and semantic frames of reference.

Claim (Index 1):
A method comprising:\n collating input data from a plurality of sources, wherein the input data is semantically uncorrelated three-space data of an instantaneous spatial and geometric state of an object in a frame of reference of the object; conforming the input data into a stream of spatiotemporal data, wherein the spatiotemporal data of the stream is uniformly represented; generating gestural events from the spatiotemporal data using a plurality of gesture descriptions; representing the gestural events in a protoevent comprising a data format that is application-neutral and fully articulated; and distributing the gestural events and providing access to the gestural events via corresponding protoevents by at least one event consumer in a spatial-semantic frame of reference of the at least one event consumer.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 99.0
- Lexical Diversity: 1.55405
- Patent Class: 345.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12773605', '14224947', '12773667', '15686529', '14276093']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7345216453603426
- 35 USC 102 Novelty (BERT): 0.5183858600759114
- Combined Prediction Score: 0.7129080668318996
- Mean Citation Score: 343.550354
- Max Citation Score: 343.80997
- Similarity Product: 327.449523045671

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