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A real-time fuzzy logic biofeedback controller for freestyle swimming body posture adjustment
Summary
This study introduces a wearable device for freestyle swimmers, providing real-time auditory feedback on posture. This innovative training tool, utilizing fuzzy logic control, significantly improved swimming performance and technique in recreational swimmers.
Area of Science:
- Sports Science
- Biomedical Engineering
- Wearable Technology
Background:
- Wearable body area networks (BANs) are crucial for collecting kinematic data during activities.
- Freestyle swimming performance relies heavily on precise body posture and technique.
- Existing training methods often lack real-time, quantitative feedback.
Purpose of the Study:
- To design and implement a wearable device for freestyle swimming training.
- To provide real-time, audible feedback on swimming posture using bone conductors.
- To evaluate the effectiveness of a fuzzy logic-controlled feedback system in improving swimmer performance.
Main Methods:
- Development of a wearable device incorporating a fuzzy logic controller.
- Collection of swimming posture data through the wearable BAN.
- Real-time auditory feedback delivery via bone conduction.
- Experimental design with baseline, feedback training, and retention test phases.
Main Results:
- Swimmers successfully adapted to the real-time feedback system.
- Significant improvements observed: up to 7.62% lap time reduction and 29.64% trunk roll enhancement.
- Performance improvements were maintained after the removal of feedback during the retention test.
Conclusions:
- Real-time fuzzy logic feedback is an effective tool for enhancing recreational swimmer performance.
- The developed wearable device offers a novel approach to swimming training.
- Auditory feedback through bone conduction is a viable method for technique correction.
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