Hand-Eye Reaction Measurement With Multi-Sensor Catching Data
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Solution Overview
Problem
Existing measuring systems for hand-eye reaction ability in complex neurocognitive tasks primarily rely on two-point measurements, lacking the capability to record a dense point cloud of data on force exertion and acceleration behavior during the catching process, which limits reproducibility and objective analysis.
Innovation Solution
A measuring system that includes a measuring body accelerated by a force source, equipped with sensor units to detect acceleration and other variables, transmitting data to a processing unit for comparison with normative databases, allowing for comprehensive data logging, processing, and evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a simple stopwatch-based measurement system is used, then the device complexity is low, but the measurement precision and data density are insufficient
Solution Approach 1:
The measurement system is segmented into multiple independent sensor units (acceleration sensor, force sensor, optical sensor) that each capture specific aspects of the catching process. This segmentation allows for high-precision multi-dimensional measurement while keeping each individual sensor component relatively simple and manageable.
Solution Approach 2:
A data processing unit serves as an intermediary that receives raw data from multiple sensors, synchronizes the data streams, and processes the information into meaningful measurement results. This intermediary component enables the integration of complex multi-sensor data without requiring the entire system to be overly complex.
2Quantity of substance
If only two-point measurements are taken, then the device complexity is low, but the quantity of measurement data is insufficient
Solution Approach 1:
The system continuously records measurement data throughout the entire catching process rather than taking discrete two-point measurements. The sensors operate continuously to capture the dense point cloud of data representing force, acceleration, and position changes over time, ensuring no valuable measurement information is lost.
Solution Approach 2:
The measurement system transitions from one-dimensional two-point timing measurements to multi-dimensional continuous measurement by incorporating force sensors, acceleration sensors, and optical sensors that capture data across multiple physical dimensions simultaneously, dramatically increasing the quantity and quality of measurement data.
3Measurement precision
If comprehensive sensor data collection is implemented, then the measurement precision is improved, but the use of energy increases
Solution Approach 1:
The system implements partial continuous monitoring by focusing sensors on the critical catching moment rather than continuously monitoring the entire duration. The high-rate data acquisition is activated specifically during the catching phase when measurement precision is most critical, while using lower sampling rates or dormant state during other phases to reduce energy consumption.
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 quantification of reaction times and gripping functions by capturing a dense point cloud of data, facilitating objective and reproducible assessments, suitable for various applications including physical training and early detection of neurodegenerative diseases.
Implementation Method 1
a first sensor unit, which is designed to measure acceleration, detects the acceleration curve over time
Implementation Method 2
Said measuring body is accelerated out of the at least one holding device thereof by means of at least one force source
Data Source
AI summary
The invention relates to a measuring system for reproducibly measuring reaction time curves in the case of a complex neurocognitive task. For this purpose, human influences are largely prevented when carrying out the experiment. As a result of external data processing, the measuring system is able to form an independently growing and anonymous data basis which increases in accuracy due to the continuously increasing amount of data therein. This also allows statements to be made about potentially dangerous changes in reaction times up to the indication and/or identification of neurodegenerative diseases.