Training device for carrying out muscle training for a muscle
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Solution Overview
Problem
Existing training devices lack interactive capabilities to provide real-time feedback and stimulation for muscle contraction, making it difficult to assess training success and motivate users.
Innovation Solution
A training device equipped with load sensors, a control unit, and a signaling unit that provides positive or negative feedback based on muscle contraction performance, allowing for interactive muscle training through mechanical and electrical stimulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If load sensors are used to detect muscle contraction, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where load sensors detect muscle contraction forces and transmit this information to a control unit, which then provides real-time feedback signals to guide the user's muscle training. This closed-loop feedback system enables precise measurement of muscle contraction while managing device complexity through automated control algorithms.
Solution Approach 2:
The patent replaces complex mechanical measurement systems with electronic load sensors and digital signal processing. Instead of using mechanical linkages and physical gauges to measure muscle force, the system uses electronic sensors that convert mechanical force into electrical signals for digital analysis, thereby improving measurement precision while reducing mechanical complexity.
2Ease of operation
If interactive feedback is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The system provides real-time feedback to users through a signaling unit that displays muscle contraction performance. This feedback mechanism simplifies operation by automatically interpreting sensor data and presenting actionable information to the user, eliminating the need for users to manually analyze complex measurement data while the control unit manages the complexity of processing and presenting feedback.
Solution Approach 2:
The training device performs self-assessment by automatically detecting muscle contraction through load sensors and evaluating performance without requiring external intervention. The system serves itself by autonomously monitoring, analyzing, and providing feedback on training effectiveness, thereby improving ease of operation while the automated processes manage the underlying system complexity.
3Measurement precision
If multiple load sensors are used for comprehensive muscle assessment, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent combines multiple load sensor measurements into a unified evaluation process. Instead of separately analyzing each sensor's data, the control unit integrates signals from multiple load sensors to comprehensively assess muscle contraction performance. This merging of measurement data allows for precise multi-point muscle evaluation while reducing processing time through consolidated analysis.
Solution Approach 2:
The system performs preliminary calibration and setup of multiple load sensors before actual muscle training measurement. By pre-configuring the sensor network and establishing baseline measurements in advance, the system prepares the measurement framework beforehand, enabling rapid comprehensive assessment during training without time-consuming setup or individual sensor calibration during the measurement process.
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
Enables direct recognition of training success, motivates users through feedback, and allows for targeted muscle training with real-time assessment and stimulation, enhancing muscle training effectiveness.
Implementation Method 1
the load measuring device has one or more load sensors for determining a load exerted by the person on the load measuring device
Data Source
Figure 1
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AI summary
The invention relates to a training device for carrying out muscle training for a muscle, in particular for a specific muscle, of a person, having a control unit, a main body and a load measuring device arranged on the main body, wherein the muscle, in particular the specific muscle, is in contact with the load measuring device in a position of use by the person, and the load measuring device has a load sensor or a plurality of load sensors for determining a load exerted on the load measuring device by the person at a particular measurement point correlated with a section of the muscle at a particular measurement point position, wherein the control unit has a signal unit, and the control unit is configured such that the signal unit can be used to output a contraction signal to the person, with the result that the person carries out a signalled muscle contraction on the basis of the contraction signal, and it is possible to check whether the signalled muscle contraction has been successfully carried out by comparing a load profile determined by means of the load measuring device with a comparison load profile by virtue of a positive success signal being output if the load profile and the comparison load profile correspond and a negative success signal being output if the load profile and the comparison load profile do not correspond.