Multi-Device Continuum Sensing Platform for Context Analytics
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Solution Overview
Problem
Existing life logging systems are limited to specific domains and environments, such as mobile phones or specific devices, and lack integration and data analytics capabilities, making it difficult to collect, synchronize, and analyze data from multiple digital devices.
Innovation Solution
A Multi-Device Continuum and Seamless Sensing Platform that collects, aligns, and synchronizes data from multiple digital devices, including smartphones, tablets, and wearable devices, and stores it in a unified database for context-aware analytics, enabling continuous sensing and data integration across devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data is collected from multiple digital devices, then data coverage and analytics capability are improved, but data synchronization and integration complexity increase
Solution Approach 1:
The patent merges data from multiple digital devices (smartphones, tablets, computers, wearables) into a unified database system. The sensing application consolidates sensor data, digital activity data, and location data from various devices into a single integrated database, enabling comprehensive data coverage while managing synchronization through centralized storage and standardized data formats.
2Quantity of substance
If sensing data is collected from multiple sources, then data completeness is improved, but data processing and storage requirements increase
Solution Approach 1:
The patent segments data processing into distinct modules: a sensing application that collects raw data from multiple devices, an integration layer that aligns and synchronizes data, and a database system that stores processed data. This segmentation allows distributed data collection while managing processing loads across different system components, reducing the processing burden on any single device.
3Reliability
If data is synchronized across multiple devices, then data consistency is improved, but system resource consumption increases
Solution Approach 1:
The patent introduces a centralized database as an intermediary between multiple digital devices. Instead of devices directly synchronizing with each other (which would consume significant energy for peer-to-peer communication), data is collected by a sensing application and stored in a unified database, providing data consistency while reducing energy consumption through centralized management rather than distributed peer-to-peer synchronization.
Data Source
AI summary
The Multi-Device Continuum and Seamless Sensing Platform for Context Aware Analytics provide a platform for continuous sensing across multiple devices towards a unified target. The Multi-Device Continuum and Seamless Sensing Platform provides a platform for extracting, loading, integrating, and tracking related data across multiple smart devices capable of integrating with internal and external sensors, such as wearable devices. The Multi-Device Continuum and Seamless Sensing Platform develop context aware solutions, which are targeted at automated recognition of context extracted from users' devices, as people are often always interacting with a digital device such as phone, tablet, or desktop.