Instructional Assessment Interface for Automatic Activity Endpoint Detection
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Solution Overview
Problem
Existing sensorimotor control tests for assessing musculoskeletal and neurological health are prone to operator error due to manual start and end point identification, and lack adaptability in providing instructions during the activity.
Innovation Solution
An instructional interface that automatically updates instructional images based on user actions, determining starting and endpoints, and providing adaptable visual guidance during assessments to mitigate operator error.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual start and end point identification is used, then operator flexibility is maintained, but operator error increases and assessment consistency decreases
Solution Approach 1:
The system automatically identifies start and end points by detecting user actions through the tracking device, eliminating the need for manual operator identification. The assessment application autonomously determines when activities begin and end based on detected movements, thereby reducing operator error while maintaining operational simplicity for the user.
Solution Approach 2:
The manual mechanical process of operator identification is replaced with an automated detection system using tracking devices and computer vision. The system substitutes human judgment with algorithmic detection of movement patterns, improving consistency and reliability while reducing the skill requirement for operators.
2Adaptability or versatility
If scripted assessment instructions are used, then assessment structure is maintained, but adaptability to user actions is lost
Solution Approach 1:
The assessment instructions transition from static scripted text to dynamic visual guidance that automatically updates based on detected user actions. The instructional interface adapts in real-time to the current activity being performed, providing relevant guidance without requiring complex manual reconfiguration of the assessment protocol.
Solution Approach 2:
The system incorporates real-time feedback by detecting user actions through the tracking device and automatically updating instructional images accordingly. This closed-loop feedback mechanism enables the system to adapt to user actions dynamically, maintaining relevance and simplicity without increasing operational complexity.
3Ease of operation
If visual guidance is provided during activity, then user guidance is improved, but distraction from assessment task may increase
Solution Approach 1:
The visual guidance is segmented into discrete instructional images that correspond to specific activities. The system displays only the relevant instructional image for the current detected activity, avoiding information overload and distraction. This segmented approach provides clear guidance while minimizing time loss from excessive visual information.
Data Source
AI summary
A system for evaluating a condition affecting musculoskeletal or neurological health of a user using an assessment application with an improved instructional interface and exercise module. The instructional interface automatically displays an instructional image corresponding to an activity of an assessment. After the assessment application detects the activity being performed by the user, the instructional interface foregrounds the instructional image corresponding to the activity. After automatically determining an endpoint for the activity, the assessment application subsequently detects another activity being performed by the user. Upon detecting the other activity, the instructional interface foregrounds another instructional image corresponding to the other activity. The assessment application then automatically determines another endpoint for the other activity and generates a report based on performance of the user for the assessment and/or exercise.