Open Motor Skill Assessment With Hierarchical Cueing
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Solution Overview
Problem
Open motor tasks, such as sports and professional skills, are challenging due to their dynamic nature, requiring complex interactions with the environment and lengthy training to achieve proficiency, as they involve both cognitive and motor skills, making assessment and augmentation difficult.
Innovation Solution
A sensor-based system and method for assessing and augmenting movement behavior using a hierarchical interactive model that integrates task planning, movement sequence coordination, and execution, with techniques like verbal and visual cueing through augmented reality, to enhance learning and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive assessment of open motor skills is implemented, then learning and performance improvement is enhanced, but system complexity increases
Solution Approach 1:
The assessment system is divided into three hierarchical levels: task planning level, movement sequence coordination level, and movement element execution level. Each level is assessed separately using specific sensors and metrics, making the complex assessment process manageable and systematic. This segmentation allows comprehensive evaluation while reducing overall system complexity through modular design.
Solution Approach 2:
A hierarchical interactive model serves as an intermediary between the assessment system and the learner. This model integrates information from multiple sensor sources (video cameras, motion sensors, GPS) and translates them into meaningful assessments across different skill levels, simplifying the complexity of processing and interpreting comprehensive motor skill data.
2Measurement precision
If multiple sensor sources are integrated for comprehensive assessment, then measurement precision improves, but device complexity increases
Solution Approach 1:
Multiple sensor sources (video cameras for visual analysis, motion sensors for body movement, GPS for spatial positioning) are merged into a unified assessment framework. The hierarchical interactive model integrates data from all sensors, combining their strengths to achieve comprehensive and precise measurement of motor skills while managing the complexity through centralized processing.
Solution Approach 2:
The assessment system is designed with multi-functionality to evaluate different aspects of motor skills across three hierarchical levels using the same integrated sensor network. This universal approach allows precise measurement of task planning, sequence coordination, and element execution without requiring separate dedicated systems for each assessment dimension.
3Adaptability or versatility
If hierarchical model with three levels is used, then assessment comprehensiveness improves, but difficulty of detecting and measuring increases
Solution Approach 1:
The assessment is segmented into three distinct hierarchical levels with specific measurement focuses: task planning (strategic decisions), movement sequence coordination (temporal-spatial organization), and movement element execution (physical actions). This segmentation simplifies measurement by providing clear, level-specific metrics while maintaining comprehensive assessment coverage.
Solution Approach 2:
The hierarchical model adds a dimensional structure to the assessment, organizing measurements across three levels rather than attempting to measure all aspects simultaneously at one level. This dimensional approach makes detection and measurement more manageable by processing information hierarchically, from basic movement elements up to complex task planning.
Data Source
AI summary
A system adapted to augment movement behavior of participants in an open motor task or activity includes one or more movement sensors configured to generate output characterizing movements of participants, including relevant interactions with elements and features of the environment and task or activity objects within the environment. A processor is configured to extract and segment a sequence of movement behavior elements from the output, register the movement elements with respect to operating environment, including the task or activity objects, recognize activity state, and determine cues to enhance performance and/or learning. Augmentations include verbal, visual, or haptic or audible signal-based cues that are designed to target critical aspects of movement skills in open motor tasks, including planning sequence of movements toward task goals; coordinating and executing movement elements in the sequence in relationship to relevant task activity events and elements.