Kinesthetic Awareness Wearable for Real-Time Motion Feedback
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Solution Overview
Problem
Current wearable physical fitness activity trackers provide limited real-time feedback on motion and physiological data, lacking specificity and context, resulting in delayed analysis and generic responses to individual actions.
Innovation Solution
A system and method for providing kinesthetic awareness using a kinesthetic awareness tool with sensors and processors that capture, analyze, and provide feedback on motion and physiological data, offering real-time guidance through various feedback methods such as audio, visual, and haptic feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If wearable physical fitness activity trackers record motion and physiological data, then data collection capability is improved, but real-time feedback capability deteriorates due to limited processing and post-activity analysis delay
Solution Approach 1:
The patent implements real-time feedback mechanisms where the wearable device immediately processes sensor data and provides feedback to the user during the activity itself, rather than delaying analysis until after the activity concludes. This eliminates the time loss between activity and analysis while maintaining comprehensive data collection.
Solution Approach 2:
The patent replaces traditional post-activity mechanical analysis systems with real-time computational processing integrated into the wearable device. The processor continuously analyzes sensor data streams and generates immediate feedback, substituting delayed mechanical review with instantaneous digital processing.
2Device complexity
If wearable trackers provide generic motion data analysis, then system complexity is reduced, but adaptability to individual actions and contexts deteriorates
Solution Approach 1:
The patent applies local quality by providing customized feedback specific to each individual action and context rather than generic analysis. The system adapts its response based on the specific motion patterns, physiological data, and contextual information detected, ensuring each user receives tailored guidance relevant to their particular activity and performance level.
Solution Approach 2:
The patent implements dynamic adaptability where the feedback system continuously adjusts its analysis and responses based on real-time changes in user behavior, motion patterns, and physiological states. This allows the system to evolve its responses during the activity itself, maintaining relevance and effectiveness without requiring complex pre-programming for every possible scenario.
3Device complexity
If wearable trackers offer limited types of information, then device complexity is reduced, but kinesthetic awareness capability deteriorates
Solution Approach 1:
The patent achieves multi-functionality by integrating multiple sensor types (accelerometers, gyroscopes, magnetometers, barometers, microphones, cameras) into a single wearable device that provides comprehensive kinesthetic awareness. This universal approach allows the device to capture diverse motion and physiological data simultaneously, enhancing measurement precision without proportionally increasing device complexity through integrated sensor arrays.
Data Source
AI summary
A method and system for providing kinesthetic awareness may include, but is not limited to, capturing a set of training data with a plurality of sensors of a kinesthetic awareness tool, analyzing the set of training data based on an impact level of the plurality of sensors and a response range of the plurality of sensors, generating a position response based on the analysis of the set of training data, comparing the position response to a target response, and generating a numerical response based on a comparison of the position response to a target response. The method and system may include, but is not limited to, generating a response signal if the numerical response is within a configurable feedback threshold, and outputting the response signal via the plurality of feedback devices. The method and system may receive or obtain reference data, with which the target response may be determined.


