Mobile Action Spot Detection via Activity Level Signaling
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Solution Overview
Problem
Current mobile devices lack an efficient method to discover and display action spots, which are locations with ongoing events or activities, near the user's current location, often requiring manual searches that can be incomplete and inaccurate.
Innovation Solution
A system and method on mobile devices that determine action spots by using a processor to identify locations with recent documenting activities within a predetermined distance, signifying these spots on a graphical user interface with activity levels, allowing users to find nearby events without external searches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually search for nearby events using external devices or search engines, then they can find some information about events, but the information is incomplete and inaccurate, and the process is time-consuming
Solution Approach 1:
The system enables mobile devices to automatically detect and report their own location and documenting activities without requiring external search engines or manual user input. Each device serves itself by generating location data and activity information that contributes to the collective action spot database.
Solution Approach 2:
The system implements feedback loops where mobile devices continuously report their location and activity status to the server, which then processes this information and provides updated action spot recommendations back to users. This real-time feedback mechanism ensures information remains current and accurate.
2Reliability
If the system monitors documenting activities from multiple mobile devices to identify action spots, then the information about nearby events becomes accurate and comprehensive, but the system complexity increases
Solution Approach 1:
A central server acts as an intermediary between multiple mobile devices, receiving location and activity data from devices, processing this information to identify action spots, and distributing results back to users. This intermediary approach simplifies the overall system architecture by centralizing the complex processing tasks.
Solution Approach 2:
The system uses universal mobile devices that already possess GPS, camera, and communication capabilities. These existing multi-functional devices are leveraged to perform location tracking, activity detection, and data transmission without requiring specialized equipment, thereby reducing overall system complexity.
3Loss of information
If the system processes and analyzes documenting activities in real-time to provide up-to-date action spot information, then the information remains current and useful, but the computational resources and energy consumption increase
Solution Approach 1:
Instead of continuous real-time processing, the system uses periodic updates where mobile devices report their status at intervals, and the server processes batches of data periodically. This approach maintains information currency while significantly reducing the computational burden and energy consumption compared to true real-time processing.
Solution Approach 2:
The system performs preliminary filtering and processing of location and activity data at the mobile device level before transmitting to the server. By pre-processing data locally and only sending relevant information, the system reduces the computational workload on both the device and server, thereby lowering energy consumption while maintaining information accuracy.
Data Source
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AI summary
A system and method for determining action spot locations relative to the location of a mobile device includes a display and a processor module communicatively coupled to the display. The processor module is configured to receive executable instructions to display a graphical user interface of the display; receive data indicative of the current location of the mobile device; and determine at least one action spot relative to the current location of the mobile device. The processor module can signify the action spot on the graphical user interface and provide an indication of activity level occurring at the action spot. The action spot can be a location where at least one other mobile device has engaged in documenting action within a predetermined period of time from when the mobile device arrived at the current location.