Mobile Device Strength Training Data Acquisition
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Solution Overview
Problem
Current technologies lack a comprehensive method for precisely capturing and analyzing training data across all strength-training exercises with various equipment, failing to provide accurate performance predictions and personalized training recommendations.
Innovation Solution
A mobile device system that selects specific strength-training exercises and utensils, calculates reworked measurement values using raw sensor data and predetermined movement patterns, and integrates data from accelerometers and rate sensors to provide precise training data acquisition and analysis, enabling performance prediction and personalized training control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If training data is acquired using large stationary machines with cable pull sensors, then measurement precision is improved, but device complexity and portability are worsened
Solution Approach 1:
The patent replaces complex mechanical sensing systems (cable pull sensors on stationary machines) with mobile electronic devices equipped with accelerometers and other sensors. The mobile device captures movement data through inertial measurement, substituting mechanical force measurement with acceleration-based calculation, thereby reducing device complexity while maintaining measurement capability
Solution Approach 2:
The patent creates a digital model of training exercise movements by capturing acceleration patterns and comparing them against stored reference patterns. This copying approach allows the system to identify and analyze exercises without requiring specialized sensing equipment, resolving the contradiction between measurement precision and device complexity
2Ease of operation
If mobile devices with accelerometers are used for training data acquisition, then portability and ease of operation are improved, but measurement precision and reliability are worsened
Solution Approach 1:
The system performs preliminary actions by storing reference acceleration patterns for various training exercises in the mobile device before actual training occurs. During training, captured acceleration data is compared against these pre-stored patterns to identify exercises and calculate parameters, thereby improving measurement precision while maintaining portability
Solution Approach 2:
The patent implements feedback mechanisms where the system continuously compares measured acceleration patterns against reference patterns, adjusts for variations in execution quality, and refines exercise identification and parameter calculation. This feedback loop enhances measurement precision without compromising the portability of the mobile device
3Adaptability or versatility
If comprehensive training data analysis is implemented across all strength-training exercises, then adaptability and training personalization are improved, but device complexity and computational requirements are worsened
Solution Approach 1:
The patent implements a universal analysis system where a single mobile device with standardized sensors can analyze all types of strength-training exercises by comparing acceleration patterns against a comprehensive library of reference patterns. This multi-functional approach enables broad exercise coverage without increasing device complexity, as the same hardware handles diverse exercise types through software-based pattern recognition
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 precise acquisition and analysis of training data across all strength-training exercises, providing accurate performance predictions and personalized training recommendations, enhancing user performance and training efficiency.
Implementation Method 1
determine raw sensor data, consisting of acceleration values, using the mobile device
Implementation Method 2
determine raw sensor data, consisting of acceleration values, using the mobile device
Data Source
AI summary
The invention relates to the field of mobile training data acquisition in sport, particularly in strength training, body building, fitness sports and rehabilitation, as well as the analysis of said training data. The invention involves a method and a mobile device (1) for precise acquisition of multiple training data. The multiple training data includes, for example, the time-path curve of the force application point of the training load, the mechanical work and the tension duration of eccentric and concentric muscle length changes and isometric muscle contractions. An analysis of the training data is based on a training model (25).