Fan Interaction Module Kinetic Energy Measurement
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Solution Overview
Problem
Current systems lack effective methods to enhance fan interaction, team/player loyalty, and sponsor participation in sports and entertainment events, particularly in measuring and leveraging fan engagement and kinetic energy.
Innovation Solution
A mobile device-based system with a fan-interaction module that uses sensors like accelerometers, gyroscopes, and GPS to log and calculate kinetic energy from fan interactions, providing notifications and enabling sponsor branding and contests, while allowing direct communication and geolocation of fans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If fan interactions are tracked using mobile device sensors, then fan engagement measurement capability is improved, but device complexity and power consumption increase
Solution Approach 1:
The system divides fan engagement measurement into separate sensor modules (accelerometer, gyroscope, GPS, touchscreen sensor) that can independently detect different interaction types. Each sensor module processes specific aspects of fan behavior, allowing the system to measure comprehensive engagement without requiring a single complex measurement system.
Solution Approach 2:
The mobile device's existing sensor suite is leveraged for multiple purposes: the accelerometer and gyroscope detect both waving motions and tapping patterns, GPS provides both location data and movement analysis, and the touchscreen sensor captures direct interaction. This multi-functional use of sensors reduces overall system complexity while improving measurement precision.
2Productivity
If kinetic energy calculations are performed in real-time, then fan interaction feedback is improved, but energy consumption increases
Solution Approach 1:
The system performs kinetic energy calculations at specific periodic intervals triggered by interaction events (waving, tapping, swinging) rather than continuously. The fan-interaction module monitors sensor data streams and activates calculation routines only when interaction patterns are detected, providing timely feedback while minimizing unnecessary energy consumption during non-interaction periods.
Solution Approach 2:
The kinetic energy algorithm utilizes data already collected by the sensor modules for other measurement purposes. The same accelerometer and gyroscope data used to detect interaction types and patterns are simultaneously used to calculate kinetic energy, eliminating redundant data collection and processing operations that would consume additional energy.
3Measurement precision
If multiple sensor modules are integrated, then interaction detection accuracy is improved, but device complexity increases
Solution Approach 1:
The system merges data from multiple sensor modules (accelerometer, gyroscope, GPS, touchscreen sensor) into a unified interaction detection framework. The fan-interaction module integrates these sensor inputs to comprehensively detect and differentiate various fan interactions, achieving high measurement precision by combining complementary data sources rather than relying on single sensors.
Solution Approach 2:
The fan-interaction module serves as an intermediary that receives raw data from multiple sensor modules, processes and correlates the information, and generates standardized interaction detections. This intermediary layer simplifies the integration complexity by providing a unified processing interface that coordinates between different sensor modules and the rest of the system.
4Adaptability or versatility
If fan geolocation data is collected and shared, then sponsor targeting capability is improved, but privacy concerns increase
Solution Approach 1:
The system processes and analyzes fan geolocation data locally on individual mobile devices rather than centralizing all location information. The GPS module and fan-interaction module perform local processing to determine interaction contexts and sponsor relevance, sharing only aggregated or anonymized location patterns with sponsors, thereby reducing privacy risks while maintaining effective targeting capability.
Data Source
AI summary
A system for fan interaction is disclosed including, in some embodiments, a fan-interaction module stored in a memory of a mobile device; a touchscreen display interface; and one or more sensors selected from a touchscreen sensor, an accelerometer, a gyroscope, and a global positioning system receiver. The fan-interaction module can be configured to: 1) provide a notification to a fan that an entity the fan supports is to perform or an event the fan supports is to occur; 2) log an interaction of the fan with the device regarding the entity ready to perform or the event ready to occur; 3) calculate an amount of kinetic energy associated with the interaction; and 4) provide the amount of kinetic energy to a server for combination with a combined amount of calculated kinetic energy for up to all fans of the entity ready to perform or the event ready to occur.