Multi-Device Sync Hub for Vendor-Independent Wearable Data
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Solution Overview
Problem
Existing technologies face challenges in synchronizing data from multiple incompatible Bluetooth devices, particularly in group settings such as athletic teams or military units, and in efficiently managing energy usage and indoor air quality in buildings.
Innovation Solution
The introduction of a hub that automatically syncs and uploads data from multiple mobile devices to a performance data management system, eliminating the need for intermediary devices and enabling proximity-based data ingest. Additionally, the hub integrates with building management systems to optimize energy usage and indoor air quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional syncing methods using mobile phones or USB connections are used, then data can be transferred from wearable devices, but the process requires manual user intervention and is not scalable to group settings
Solution Approach 1:
The patent introduces a hub device as an intermediary between wearable devices and the cloud database. The hub automatically discovers, pairs with, and syncs data from multiple wearable devices without requiring user intervention. This mediator handles the complexity of multiple device protocols and cloud communication, leaving users with a simple automated process.
Solution Approach 2:
The hub performs self-service functions including automatic device discovery, automatic pairing, and automatic data synchronization. The system autonomously manages the syncing process without requiring users to manually connect devices or initiate transfers, thereby increasing automation while keeping the user interface simple.
2Loss of information
If each device communicates only with its manufacturer's database, then device-specific data integrity is maintained, but an integrated view of data from all devices requires accessing multiple cloud databases
Solution Approach 1:
The patent merges data from multiple manufacturer-specific cloud databases into a single integrated view accessible through the hub. The hub consolidates data from various sources (different wearable manufacturers) and presents a unified data structure, eliminating the need for users to access multiple separate cloud databases while maintaining data integrity from each source.
3Reliability
If manual USB upload or personal device syncing is required, then data can be transferred, but human error increases and consistency of upload becomes a persistent challenge
Solution Approach 1:
The hub performs automatic device discovery, automatic pairing, and automatic data synchronization without requiring manual user actions. This eliminates human error associated with manual USB connections or app-based syncing, ensuring consistent and reliable data uploads while maintaining operational simplicity through automation.
4Extent of automation
If a hub automatically syncs data from multiple devices, then data consistency and automation improve, but energy usage and building management optimization are additional considerations
Solution Approach 1:
The hub is designed as a multi-functional device that not only synchronizes data from multiple wearable devices but also integrates with building management systems to optimize energy usage and indoor air quality. By combining these functions in a single device, the patent reduces the need for separate systems and potentially optimizes overall energy consumption through centralized control.
Data Source
AI summary
A method synchronizes a plurality of mobile devices from different vendors by pairing mobile devices with a hub; positioning the hub in an area accessible to group members; automatically copying data structures with characteristics of the mobile device and extracting data from the mobile devices when each of the group members are within a range of the hub; uploading the copied data structures to a remote server; parsing the data based on each respective mobile manufacture data structure; and synchronizing user data with a cloud database. In implementations, the method can be used for fitness training of teams or for selecting optimal team members for a task. The hub's awareness of connected devices in a building can be used to reduce energy consumption by turning off building sectors based on occupants therein.