Wearable Event Data Structuring for Virtual Interface Interaction

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Solution Overview

Problem

High-precision laser scanners and 3D depth sensors on mobile devices face limitations in surface area, restricting the number and types of user interactions with virtual interfaces, which in turn limits the applications that rely on these interfaces for input and output.

Innovation Solution

The implementation of event data processing systems that utilize category-based labeling and hierarchical structures for event data, allowing for flexible collation, filtering, and grouping of events, and enabling efficient access control and data security through unified and narrower event streams, schema association, and access control data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If laser scanners and 3D depth sensors are used to create virtual interfaces on mobile devices, then user interaction capability is improved, but the limited surface area restricts the number and types of interactions

Engineering Contradiction:

Improveuser interaction capabilityVSAvoidsurface area

Core Design Contradiction:

Adaptability or versatilityVSArea of stationary object

Solution Approach 1:

The patent transitions from 2D surface interaction to 3D spatial interaction by utilizing depth sensors and structured light to create volumetric interaction zones. Users can interact with virtual interfaces in three-dimensional space around the device, not just on the limited screen surface, thereby expanding interaction capabilities beyond area constraints.

Inventive Principle:

Principle #17Another dimension (Dimensionality change)

Solution Approach 2:

The patent divides the interaction space into multiple segmented zones including gesture recognition zones, projection zones, and depth mapping zones. This segmentation allows different types of interactions to occur in different spatial regions, effectively multiplying the number of simultaneous interactions possible despite limited device surface area.

Inventive Principle:

Principle #1Segmentation

2Loss of information

If event data from multiple sources is aggregated into a unified event stream, then data completeness and user understanding are improved, but data organization and query complexity increase

Engineering Contradiction:

Improvedata completenessVSAvoiddata organization complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent implements a universal event stream structure that can accommodate multiple data sources and types through a common schema. The unified event format includes standardized fields for source identification, event type, timestamp, and payload, allowing diverse data sources to be integrated without creating separate processing pipelines for each source.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent introduces an intermediary event processing layer that sits between raw data sources and the user interface. This intermediary layer standardizes incoming events, filters and prioritizes them based on relevance, and presents them in a organized manner to downstream components, thereby managing complexity while preserving data completeness.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Adaptability or versatility

If category-based labeling with nested hierarchies is implemented for event data, then data filtering and grouping flexibility are improved, but data processing overhead increases

Engineering Contradiction:

Improvedata filtering flexibilityVSAvoiddata processing efficiency

Core Design Contradiction:

Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent applies category labels and hierarchical classification to event data at the point of ingestion, before the events need to be filtered or processed. This preliminary categorization allows subsequent filtering operations to simply query pre-computed categories rather than analyzing raw event content, significantly reducing processing overhead during actual filtering operations.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent replaces complex runtime filtering mechanics with pre-computed category metadata. Instead of dynamically analyzing event content during filtering operations, the system uses pre-assigned category labels and hierarchical structures that enable efficient querying through simple metadata matching, substituting computational mechanics with data structure advantages.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS11928161B2Structuring and presenting event data for use with wearable multimedia devices

Publication Date: 2024.03.12 HEWLETT PACKARD DEVELOPMENT COMPANY LP

AI summary

Systems, methods, devices and non-transitory, computer-readable storage media are disclosed for a wearable multimedia device and cloud computing platform with an application ecosystem for processing multimedia data captured by the wearable multimedia device. In some implementations, a first event data structure is obtained, the first event data structure including first content and a first label including a first plurality of nested categories. A second event data structure is obtained, the second event data structure including second content, and a second label including a second plurality of nested categories. The second label is different from the first label. A context of a mobile device is determined. At least one of the first content or the second content to present using the mobile device is determined. Using the mobile device, the at least one of the first content or the second content is presented.