Wearable Headset for Simultaneous Motor and Oculomotor Skill Analysis
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Solution Overview
Problem
Current devices fail to simultaneously and accurately evaluate motor skills and oculomotor skills in real-time, as they lack the capability to synchronize data from non-connected devices, particularly lacking eye-tracking and detailed hand posture analysis.
Innovation Solution
A wearable headset integrating a display unit, optical sensor system, eye-tracking module, and inertial measurement unit, allowing for real-time, synchronized estimation and analysis of motor and oculomotor skills by tracking hand and finger movements, gaze stability, and body coordination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate devices are used for eye-tracking and hand tracking, then each device can be optimized for its specific function, but the devices cannot synchronize data in real-time and require complex integration
Solution Approach 1:
The patent combines eye-tracking module, hand tracking module, and inertial measurement unit into a single integrated headset device. This merging eliminates the need for separate devices and complex synchronization protocols, as all sensors share a common time reference and coordinate system within the unified device architecture.
Solution Approach 2:
The headset device performs multiple functions simultaneously: eye-tracking for oculomotor assessment, hand tracking for motor skill evaluation, and head movement tracking for coordination analysis. This multi-functionality replaces what previously required multiple specialized devices, reducing integration complexity while maintaining measurement precision.
2Measurement precision
If detailed hand posture analysis is implemented, then motor skill evaluation accuracy improves, but the device complexity and processing requirements increase
Solution Approach 1:
The hand tracking system segments the hand into distinct anatomical regions (fingers, palm, wrist) and tracks each segment independently. This segmentation enables detailed motor skill evaluation by analyzing individual finger movements and postures, while the modular processing approach manages computational complexity through hierarchical analysis.
Solution Approach 2:
The system dynamically adjusts tracking parameters such as frame rate, resolution, and processing depth based on the specific motor task being performed. This allows detailed hand posture analysis when needed while reducing processing load during simpler tasks, balancing measurement precision with computational efficiency.
3Productivity
If real-time data processing is implemented, then immediate feedback and task adaptation are enabled, but the computational load and energy consumption increase
Solution Approach 1:
The system processes data at variable rates depending on the task requirements, using higher processing frequencies during critical measurement phases and lower frequencies during stable states. This periodic processing approach enables real-time feedback when necessary while reducing energy consumption during transitional or stable measurement periods.
4Reliability
If standardized measurement conditions are created using virtual reality, then measurement reliability improves, but the device complexity and cost increase
Solution Approach 1:
The headset integrates both virtual reality display capabilities and scientific measurement sensors into a single device. This allows the creation of standardized virtual measurement environments for reliable oculomotor and motor skill assessment, while the same hardware can be used for other purposes, justifying the complexity through multi-functionality.
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, simultaneous evaluation of motor and oculomotor skills in standardized environments, providing detailed data for assessing impairments and improving task adaptation, with enhanced portability and flexibility.
Implementation Method 1
an optical sensor system for estimating a position and a shape of a hand and fingers of the person in a three-dimensional space
Implementation Method 2
an eye-tracking module that is configured to determine a point of gaze, a stability of gaze and/or a motion of an eye relative to the head
Implementation Method 3
particularly an inertial measurement unit (IMU)
Data Source
AI summary
The invention relates to a device for the determination and analysis of the motor skill and the oculomotor skill of a person (100), with a headset comprising at least the following components: a display unit (9) for displaying an image to the eyes of a person (100), when the headset is mounted on the head of the person (100); an optical sensor system (3, 4, 6) for estimating the position and shape of an object in three-dimensional space and for estimating the position of the head set in three dimensional space, wherein the optical sensor system (3, 4, 6) is arranged and designed for the detection and registration of the hands and fingers of the person (100); an eye-tracking module (8) that is configured to determine a point of gaze of the person (100) wearing the device. The invention furthermore relates to various methods for using the device.