Smartphone Balance Testing and Training With Movement Sensors
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Solution Overview
Problem
Current balance testing and training systems are limited to specialty clinics, requiring expensive equipment and expert time, making them inaccessible to the general population, especially for self-managed balance improvement.
Innovation Solution
A mobile app and wearable sensors system that allows individuals to evaluate and improve their balance capabilities through a smartphone-based platform, utilizing sensors for movement measurement, and an online service for personalized training and feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If balance testing and training are provided in specialty clinics with expert management, then measurement precision and reliability are improved, but device complexity and cost increase
Solution Approach 1:
The patent uses smartphone sensors (accelerometer, gyroscope, magnetometer) to create a portable copy of clinical balance testing equipment. The mobile device replicates the measurement function of expensive clinical machinery while being much simpler and more accessible, allowing balance assessment anywhere without requiring specialized clinic infrastructure.
Solution Approach 2:
The patent replaces complex mechanical testing equipment with electronic sensor-based measurement. Instead of using specialized physical testing devices with mechanical components, the system uses digital sensors embedded in smartphones to detect balance parameters, simplifying the overall system while maintaining measurement capability.
2Reliability
If expert experts manage balance evaluation and training programs, then reliability is improved, but loss of time and cost increase
Solution Approach 1:
The patent enables users to perform balance evaluation and training independently using their smartphones. The system provides automated instruction, real-time feedback, and progress tracking without requiring expert intervention for each exercise session. Users can conduct assessments and complete training programs on their own schedule, eliminating the need for timed clinic appointments and expert supervision for every activity.
Solution Approach 2:
The patent implements automated feedback mechanisms where the system continuously monitors balance performance through sensor data and provides immediate guidance. The system adjusts training parameters based on performance data and communicates with healthcare professionals for periodic review, maintaining reliability through structured feedback loops without requiring constant expert presence.
3Measurement precision
If specialized equipment is used for balance testing, then measurement precision is improved, but ease of operation decreases
Solution Approach 1:
The patent leverages the universal smartphone device that everyone carries to perform balance testing. Instead of requiring dedicated testing equipment, the system uses the multi-functional capabilities of mobile devices (sensors, processing power, display) to deliver clinical-grade balance assessment. This makes the technology accessible to anyone with a smartphone, dramatically improving ease of operation and accessibility.
4Reliability
If clinical balance training programs are implemented, then reliability is improved, but ease of manufacture and deployment decrease
Solution Approach 1:
The patent divides the balance training program into discrete, manageable exercise modules that can be independently programmed and delivered. Each training component is segmented into specific tasks with clear instructions and success criteria, allowing the system to be manufactured as software content that can be easily deployed and updated without requiring physical manufacturing or complex system assembly.
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 widespread access to balance testing and training, reducing costs and resource requirements, allowing self-managed healthcare and continuous improvement without clinical appointments, while providing personalized and interactive exercises.
Implementation Method 1
sensors configured to be attached to a human subject for measurement of movement of the human subject
Implementation Method 2
The key gait parameters include: stride length, stride width, foot height, cadence (i.e. the timing of each step), and the variability of these 4 parameters
Data Source
Figure 1
Figure 2
AI summary
A human balance testing and training system may comprise: a mobile communication device comprising: (1) sensors; (2) a display unit; (3) an input unit; (4) an evaluation subsystem for evaluating balance capabilities of a human subject utilizing data collected when the human subject is performing one or more balance evaluation exercises, the data including data received from the sensors; (5) an expert subsystem for prescribing an exercise plan; and (6) a training subsystem for maintaining an exercise plan including one or more balance training exercises for the human subject; wherein the exercise plan is determined by at least one of a balance evaluation by the evaluation subsystem, performance data provided by the training subsystem, and input from a health professional; and wherein the sensors are configured to measure movement of the human subject during performance of one or more of an evaluation exercise and a training exercise.