Timing Cue System for Sports Performance
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Solution Overview
Problem
Existing technologies lack effective tools to help actors or players maintain timing and focus attention in interactive vocational performance and sports, particularly in dynamic environments where continuous adaptation is required.
Innovation Solution
A codification system that provides real-time cues to actors using information extracted from measurements of relevant participant behavior and environmental interactions, communicated through auditory, haptic, and/or visual stimuli, to enhance timing and attention focus.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time cueing systems are implemented to provide timing information to players, then timing accuracy and attention focus are improved, but device complexity and system cost increase
Solution Approach 1:
The system divides the complex performance enhancement function into separate modules: sensors mounted on rackets or players to detect motion events, processors to analyze timing data and predict outcomes, and cueing devices to deliver feedback. This segmentation allows each component to be optimized independently while working together to provide precise timing cues.
Solution Approach 2:
The system introduces an intermediary processing layer between the raw sensor data and the final cueing output. This intermediary system analyzes motion events, predicts outcomes, and translates complex performance data into actionable timing cues, thereby simplifying the overall system architecture while maintaining precision.
2Measurement precision
If multiple sensors and processing components are integrated into cueing devices, then the quality of timing information is improved, but the weight and size of equipment increase
Solution Approach 1:
The system combines multiple functions (sensing, processing, cueing) into integrated devices mounted on rackets or players. By merging these components rather than using separate equipment, the system achieves high timing information quality while minimizing the weight and size increase compared to having distinct separate systems.
3Adaptability or versatility
If continuous real-time analysis of player behavior and environmental interactions is performed, then adaptability to dynamic conditions is improved, but computational requirements and processing time increase
Solution Approach 1:
The system performs preliminary analysis of player behavior patterns and environmental conditions during normal play to build predictive models. This preliminary processing enables the system to adapt quickly to dynamic conditions during actual gameplay without requiring excessive computational power at the moment of action, as the heavy lifting is done in advance.
Solution Approach 2:
The system dynamically adjusts the level of analysis and processing intensity based on the current game state and conditions. During routine play, the system uses lighter processing to maintain adaptability, while reserving more computational resources for critical moments when precise timing cues are most needed, thereby balancing adaptability with processing requirements.
Data Source
AI summary
A system includes a data interface in communication with one or more sensor systems configured to acquire measurement data for one or more participants in an activity. A processor in communication with the sensors via the data interface analyzes the measurement data to identify events associated with the environment and participants, extracts attributes associated with the events from the measurement data, predicts a movement outcome associated with one of the events based on the attributes, and generates one or more instructions based on the predicted movement outcome the instructions generated by the processor encoding timing and magnitude information selected to enhance attention to and recognition of the event.