Hand-held Dexterity Testing Apparatus Using Motion Sensors
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Solution Overview
Problem
Current dexterity testing methods are limited in their ability to accurately assess cognitive function due to their focus on specific, narrow movements rather than broader and nuanced hand movements, and are often inconvenient or expensive to administer.
Innovation Solution
A dexterity testing apparatus and system that includes a housing with sensors, such as accelerometers and gyroscopes, to track and analyze movements like speed, acceleration, and orientation over time, providing a more comprehensive assessment of dexterity and cognitive function.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional dexterity tests (Knox Cube, Jebsen Hand Function Test, 9-Hole Peg Test) are used, then dexterity can be assessed, but the tests are expensive and time consuming to administer
Solution Approach 1:
The patent replaces traditional mechanical dexterity tests with an electronic sensing system. Sensors (accelerometers, gyroscopes, or optical sensors) detect hand movements automatically, eliminating the need for manual scoring and reducing administration time while maintaining assessment accuracy.
Solution Approach 2:
The testing apparatus automatically captures, processes, and analyzes dexterity data without requiring external scorer intervention. The system self-evaluates performance by comparing sensor data against normative values, reducing both time and cost requirements.
2Ease of operation
If the coin rotation task is used, then the test is convenient to administer, but the scope is limited to number of coin flips without accounting for nuanced movement, delimiting accuracy
Solution Approach 1:
The patent adds multiple measurement dimensions beyond simple flip count. Sensors capture spatial orientation, movement velocity, acceleration patterns, and rotational dynamics, transforming a one-dimensional count metric into a multi-dimensional assessment that captures nuanced dexterity variations.
Solution Approach 2:
The system segments the dexterity assessment into multiple independent parameters (number of flips, speed, orientation changes, acceleration patterns). Each parameter is measured separately by sensors and then integrated into a comprehensive dexterity score, allowing detailed analysis of specific movement qualities.
3Measurement precision
If sensors track multiple movement parameters (speed, acceleration, orientation), then dexterity assessment accuracy improves, but device complexity increases
Solution Approach 1:
The patent employs multi-functional sensor systems that can detect multiple movement parameters simultaneously. A single sensor array captures speed, acceleration, orientation, and positional data, reducing the need for separate specialized sensors and simplifying the overall system architecture.
Solution Approach 2:
The system combines multiple sensor types (accelerometers, gyroscopes, optical sensors) into an integrated measurement unit. The sensors work together as a coordinated system, with data from each sensor type complementing the others to provide comprehensive movement analysis without requiring separate independent measurement systems.
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 quick and accurate testing of dexterity by capturing nuanced movements, allowing for the detection of changes that may indicate cognitive impairment, and facilitates data comparison for improved assessment and potential medical intervention.
Implementation Method 1
The sensor is configured to generate user dexterity data based upon changes in at least one of speed, acceleration, or orientation of the housing
Implementation Method 2
The sensor is configured to generate user dexterity data based upon changes in at least one of speed, acceleration, or orientation of the housing
Data Source
AI summary
A dexterity testing apparatus includes a housing and a sensor. The housing is configured to be manipulated with digits of one hand of a user. The sensor is supported by the housing and configured to generate user dexterity data based upon changes in acceleration and orientation of the housing as the housing moves relative to the digits of the one hand of the user. The sensor is configured to convert the user dexterity data into an output signal indicative of the user's dexterity.