Fishing Rod Event Sensing for Real-Time Angling Recommendations
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Solution Overview
Problem
Current wearable devices primarily focus on monitoring human health activities and lack the capability to effectively measure and analyze data related to sporting events and environmental conditions associated with sporting equipment, such as fishing, limiting their ability to enhance the sporting experience.
Innovation Solution
A recreation monitoring platform that includes sporting event sensing devices affixed to sporting goods, equipped with various sensors to detect and record data on sporting events and environmental conditions, which can communicate with a distributed computing environment and mobile devices to analyze, predict, and present data for enhanced user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wearable devices focus on monitoring human health activities, then health monitoring capability is improved, but capability to measure and analyze sporting event data is insufficient
Solution Approach 1:
The wearable device is designed to perform multiple functions: it monitors human health activities (heart rate, steps) while simultaneously detecting sporting event parameters (fish strikes, casts, retrieves) and environmental conditions (temperature, humidity, location). This multi-functional approach resolves the contradiction by making the device versatile enough to handle both health monitoring and sporting event analysis.
Solution Approach 2:
The patent combines health monitoring sensors, sporting event detection sensors, environmental sensors, and processing capabilities into a single integrated wearable device. This merging of previously separate functions into one device enables simultaneous health monitoring and sporting event measurement without requiring multiple separate devices.
2Loss of information
If devices measure simple parameters related to sporting goods, then device complexity is reduced, but intelligence to make meaningful conclusions about sporting activity is insufficient
Solution Approach 1:
The device incorporates feedback mechanisms where detected sporting events and environmental conditions are processed to generate actionable insights and recommendations. The system continuously monitors parameters, analyzes patterns, and provides feedback to the user about optimal fishing conditions, techniques, and equipment choices, thereby reducing information loss while managing complexity through intelligent processing.
Solution Approach 2:
The wearable device acts as an intermediary between raw sensor data and user decision-making. It collects complex multi-parameter data from sensors, processes this information through algorithms, and presents simplified actionable insights to the user. This intermediary function resolves the contradiction by handling the complexity internally while delivering clear, meaningful conclusions to the user.
3Quantity of substance
If sensors detect multiple sporting events and environmental conditions, then data comprehensiveness is improved, but device complexity increases
Solution Approach 1:
The sensor system is segmented into distinct functional modules: health monitoring sensors, sporting event detection sensors (accelerometers, gyroscopes, microphones), and environmental sensors (temperature, humidity, barometric pressure). Each module independently collects specific types of data, and the processing unit integrates these segmented data streams. This segmentation allows comprehensive data collection while managing complexity through modular architecture.
Data Source
AI summary
Provided herein is a system to sense angling events and make angling recommendations associated with a user's use of a fishing rod, reel and line. The system includes an angling event sensing device, a processor, a mobile device in communication with the processor or the angling event sensing device, and a recreation monitoring platform to receive the angling event and data and make a recommendation based on an angling event of input from the user.


