Activity Metrics Display via Wireless Tracking and Adaptive Updates
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Solution Overview
Problem
Existing fitness trackers provide basic accumulation of activity data with complicated interfaces and require wired connectors and/or complex syncing schemes for data transfer to computing devices, failing to display activity metrics in real-time effectively.
Innovation Solution
The system enables real-time display of activity metrics on computing devices by capturing motion data with a tracking device, quantifying it into metrics, and transferring this data wirelessly to the device, with adjustable connection intervals based on update conditions to optimize data transfer rates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wired connectors and complex syncing schemes are used for data transfer, then data transfer reliability is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent replaces wired mechanical connections with wireless communication technology. The activity tracking device transfers data to the display device wirelessly using radio frequency communication, eliminating the need for physical connectors and complex wired syncing procedures while maintaining data transfer reliability through protocol-level error handling and authentication mechanisms.
Solution Approach 2:
The system implements automatic data synchronization where the activity tracking device and display device autonomously establish connections and transfer data without requiring manual intervention. The devices automatically pair, authenticate, and sync activity data in the background, eliminating complex user-operated syncing schemes while ensuring reliable data transfer.
2Productivity
If data transfer rate is increased for real-time display, then productivity is improved, but use of energy deteriorates
Solution Approach 1:
The patent implements dynamic adjustment of connection intervals based on activity conditions. During high-intensity activities where real-time feedback is critical, the system increases data transfer frequency. During low-intensity or stationary periods, it reduces transfer frequency to conserve energy. This dynamic adaptation allows the system to optimize between productivity and energy consumption based on actual usage conditions.
Solution Approach 2:
The system changes the connection interval parameter dynamically based on activity state. When real-time display is required, the connection interval is shortened to increase data transfer rate. When energy conservation is prioritized, the interval is extended. This parameter adjustment enables the system to achieve real-time data transfer only when necessary, balancing productivity improvements with energy consumption management.
3Speed
If connection interval is scaled up for real-time updates, then speed of data transfer is improved, but loss of energy deteriorates
Solution Approach 1:
The patent implements dynamic scaling of connection intervals based on real-time activity conditions and update requirements. The system monitors activity intensity and display update needs, adjusting the connection interval accordingly. During periods requiring real-time updates, the interval is scaled up to increase transfer speed. During periods where energy conservation is more important, the interval is scaled down, allowing the system to adaptively balance speed and energy loss.
4Ease of operation
If wireless data connection is used, then ease of operation is improved, but reliability of data transfer deteriorates
Solution Approach 1:
The patent replaces mechanical wired connections with wireless communication technology, improving ease of operation by eliminating physical plugging and unplugging. To compensate for potential reliability concerns, the system incorporates robust wireless communication protocols with error detection, authentication, and automatic reconnection capabilities, ensuring reliable data transfer without requiring physical connections.
Data Source
AI summary
Methods, systems and devices are provided for displaying monitored activity data in substantial real-time on a screen of a computing device. One example method includes capturing motion data associated with activity of a user via an activity tracking device. The motion data is quantified into a plurality of metrics associated with the activity of the user. The method includes connecting the activity tracking device with a computing device over a wireless data connection, and sending motion data from the activity tracking device to the computing device for display of one or more of the plurality of metrics on a graphical user interface of the computing device. At least one of the plurality of metrics displayed on the graphical user interface is shown to change in substantial real-time based on the motion data.


