Athletic Weight Grip Assist Wrap With Friction Features And Sensors
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Solution Overview
Problem
Existing athletic training weights lack effective grip enhancement and real-time feedback mechanisms, leading to suboptimal workout performance and user safety.
Innovation Solution
A grip assist device with a flexible grip wrap featuring peaks and finger depressions on the exterior and a non-slip interior, embedded with sensors to monitor torque and motion, providing feedback through a computer application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a smooth grip wrap is used, then the device is easy to manufacture and clean, but the grip friction is insufficient
Solution Approach 1:
The grip wrap incorporates peaks and finger depressions at specific locations on the exterior surface to enhance friction where needed, while maintaining a relatively smooth overall structure for ease of manufacture. The non-slip feature is applied locally to the interior surface in contact with the grip bar, providing enhanced grip without requiring the entire surface to be complex.
2Loss of information
If sensors are embedded in the grip wrap, then real-time feedback is provided, but the device complexity increases
Solution Approach 1:
Sensors are embedded in the grip wrap to detect torque and motion during weightlifting, providing real-time feedback through a computer application. This feedback mechanism helps users optimize their form and prevent injury by monitoring dynamic forces and movements, directly addressing the information loss problem.
Solution Approach 2:
The sensors act as intermediaries between the mechanical forces during weightlifting and the digital feedback display. They convert physical torque and motion into electrical signals that can be processed and displayed, enabling real-time information feedback without requiring direct complex electronic interfaces.
3Object-affected harmful factors
If peaks and finger depressions are added to the exterior surface, then grip enhancement is achieved, but the manufacturing precision requirements increase
Solution Approach 1:
The peaks and finger depressions are implemented as localized surface features rather than complex three-dimensional structures throughout the entire grip wrap. This approach provides effective grip enhancement in the critical contact areas while keeping the overall manufacturing process relatively simple and not requiring extremely high precision throughout the entire component.
Solution Approach 2:
The grip wrap surface is segmented into distinct features (peaks and finger depressions) that can be manufactured separately or as discrete elements. This segmentation allows for easier manufacturing compared to creating a fully integrated complex surface, as each feature can be produced using standard molding or fabrication techniques.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances grip and improves workout efficiency by increasing friction and offering real-time feedback on dynamic motion and forces during weightlifting.
Implementation Method 1
a non-slip feature is disposed on the interior surface... which effectively increase the surface areas of the exterior and interior surfaces to increase friction in a manner that promotes a better grip
Implementation Method 2
A plurality of peaks and finger depressions are disposed on the exterior surface... which effectively increase the surface areas of the exterior and interior surfaces to increase friction
Data Source
AI summary
A grip assist device configured to be securely adhered to and removed from a grip bar of an athletic training weight. The grip assist device has a flexible grip wrap that can be attached to and detached from the grip bar. The grip wrap has a plurality of peaks and finger depressions on its exterior surface, a non-slip feature on its interior surface, and one or more sensors that can sense various forces on and motions of the gripper to provide useful feedback information to a user during a training session with the training weight. The sensor(s) can pair with a computer software application that analyzes the data sent from the sensor and provides one or more direct and/or derived measurements from the torque and/or range-of-motion measurements to the user.