Real-Time Athlete Training Signal Processing
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Solution Overview
Problem
Current athlete training systems fail to provide real-time, personalized coaching based on continuous monitoring of physical condition during exercise, as they rely on post-exercise data submission and lack adaptation to individual needs.
Innovation Solution
A method where continuous physical condition signals are processed in real-time by a remote processing unit, allowing for immediate adaptation of exercise regimes through comparison with stored athlete-specific information, with a mobile device serving only as a transmitter and sensor, thus enabling real-time coaching and optimized training results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If heart-rate data is collected and transmitted only after exercise completion, then data transmission is simple and reliable, but the data can only be used for future exercises and not for real-time coaching
Solution Approach 1:
The system performs preliminary actions by continuously measuring and transmitting heart-rate data during exercise, making the data available in advance for real-time coaching decisions rather than waiting until exercise completion
Solution Approach 2:
The system introduces continuous feedback by transmitting heart-rate data in real-time to the server, which then provides coaching instructions back to the athlete during the exercise, creating a closed-loop feedback system for immediate performance adjustment
2Ease of manufacture
If standardized exercise regimes are used, then coaching systems are simple and easy to implement, but they are not adapted to the individual condition or needs of the athlete
Solution Approach 1:
The system makes the coaching regime dynamic by continuously comparing real-time heart-rate data against the standardized exercise program, automatically adjusting coaching instructions based on the athlete's current physiological state rather than following a fixed static schedule
Solution Approach 2:
The system changes coaching parameters in real-time based on measured heart-rate data, adjusting exercise intensity, duration, and type of instructions according to the athlete's actual condition rather than predetermined fixed parameters
3Device complexity
If all processing and storage is done on the mobile device, then the system is self-contained and simple, but the device requires significant calculation power and storage capacity
Solution Approach 1:
The system extracts the complex processing and storage functions from the mobile device and relocates them to the remote server, leaving the mobile device with only simple data collection and transmission functions, thereby reducing device complexity and power requirements
Data Source
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AI summary
The present invention relates to a method for training an athlete, wherein at least one signal indicative of the physical condition of the athlete is being sensed during the activity of the athlete and being received at a remote processing unit (2). The method is characterized in that the sensed signal is being received by the remote processing unit (2) during the activity of the athlete. Furthermore the invention relates to a mobile device (1) and a remote processing unit (2) for training an athlete.