Vibration Sensor Exercise Data Authenticity
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Solution Overview
Problem
Conventional exercise data collection methods from fitness machines are prone to intentional manipulation, leading to unreliable and inaccurate data, which affects the quality and reliability of healthcare services.
Innovation Solution
A method and device that utilize vibration sensors and reference values to differentiate between genuine and manipulated exercise data by analyzing the unique driving characteristics of fitness machines, such as treadmills and human-powered equipment, to determine the authenticity of exercise data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional exercise data collection methods are used, then exercise data can be easily collected, but the data reliability deteriorates due to intentional manipulation by users
Solution Approach 1:
The patent introduces vibration sensors as an intermediary element that objectively measures the actual physical state of the fitness machine during exercise. This intermediary measurement mechanism provides independent verification of exercise data, preventing users from manipulating results while maintaining ease of data collection through automated sensing.
Solution Approach 2:
The system implements feedback by continuously monitoring vibration characteristics and comparing them against expected exercise patterns. When manipulation is detected through abnormal vibration signatures, the system can alert users or invalidate the data, creating a self-correcting mechanism that maintains data reliability without complicating the collection process.
2Reliability
If vibration sensors and analysis methods are implemented to detect manipulation, then data reliability improves, but device complexity increases
Solution Approach 1:
The patent replaces complex mechanical verification systems with vibration-based sensing and signal analysis. Instead of using elaborate mechanical mechanisms to verify exercise authenticity, the system uses vibration sensors combined with pattern recognition algorithms, simplifying the physical hardware while maintaining or enhancing detection capability.
Solution Approach 2:
The system creates a virtual model or signature of normal exercise vibration patterns through prior calibration and data collection. This copied reference pattern is then used for comparison during actual exercise sessions, allowing the system to detect manipulation without requiring complex real-time analysis of every parameter, thereby reducing computational and hardware complexity.
3Measurement precision
If multiple verification methods are used to detect exercise manipulation, then measurement precision improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The patent segments the verification process into distinct measurable parameters: vibration frequency, amplitude, temporal patterns, and spectral characteristics. By dividing the complex task of detecting manipulation into these discrete measurable components, the system achieves high measurement precision while making each individual measurement relatively simple and straightforward to implement.
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
Prevents intentional manipulation of exercise data, enhancing the reliability and usability of exercise data in healthcare, insurance, and financial sectors by ensuring accurate measurement and storage of user exercise information.
Implementation Method 1
identifying a vibration measurement obtained for the fitness machine through a vibration sensor
Data Source
AI summary
Some embodiments of the present specification relate to an apparatus for preventing the manipulation of exercise data, the apparatus comprising: a sensor installed in a driving unit of an exercise equipment or at a position close to the driving unit, to sense vibration associated with the exercise of a user; a storage unit for recording and storing a reference value for determining whether exercise data has been manipulated, according to an operational feature of the exercise equipment; an exercise data determining unit for determining whether the exercise data of the user has been manipulated, by comparing a vibration measurement value of the exercise equipment measured by the sensor with the reference value when driving of the exercise equipment is identified; and a control unit for performing control to receive exercise equipment information from which the user may determine a unique feature of the exercise equipment to which the user logs on, extract the reference value corresponding to the exercise equipment from the storage unit, receive a result of determining whether the exercise data of the user is normal, from the exercise data determining unit, store the received exercise data when it is determined that the exercise data is normal, and not store the exercise data when it is determined that the exercise data is abnormal.