A smart skipping rope with a sensing rope
By integrating conductive components and a data processing module inside the jump rope and combining them with neural network algorithms, the problem of traditional sensors being unable to capture rope tension and shape has been solved. This enables precise monitoring and analysis of the rope's stress state, improving the scientific nature of jump rope training and the widespread availability of the equipment.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHEJIANG GAUGEWILL ELECTRONICS CO LTD
- Filing Date
- 2025-04-16
- Publication Date
- 2026-05-01
AI Technical Summary
Existing technologies are insufficient to fully capture the tension changes and spatial shape of the jump rope during dynamic processes. Traditional sensor equipment is bulky and expensive, making it impossible to accurately monitor and analyze the force conditions on the rope.
The first and second conductive parts are integrated along the length of the jump rope body. The tension distribution at various positions of the rope body is measured using piezoresistive or piezoelectric composite materials. The spatial morphology of the rope body is inferred by combining data processing modules and neural network algorithms. Flexible materials and conductive polymers are used to achieve flexibility and integration of the sensing part.
It enables real-time monitoring of the tension distribution inside the rope, improving the accuracy and real-time nature of jump rope data, reducing equipment costs, making it suitable for daily training, and providing scientific training feedback to enhance exercise results.
Smart Images

Figure CN120643873B_ABST
Abstract
Citation Information
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