AI Wearable Posture Correction via 360-Degree Sensing
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Solution Overview
Problem
Current technologies fail to provide effective and personalized feedback for posture correction, leading to musculoskeletal issues due to sedentary lifestyles and poor posture habits, as they do not adequately account for individual user needs.
Innovation Solution
A system and method using wearable devices with sensors that collect 360° posture data, analyzed by AI deep learning programs, to recommend customized posture correction exercises, providing visualizations, notifications, and scoring to user terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If posture measurement devices are used to collect user posture data, then posture awareness is improved, but the system cannot provide personalized feedback and customized exercises
Solution Approach 1:
The system implements a closed-loop feedback mechanism where posture data collected from wearable devices is analyzed by AI algorithms to generate personalized feedback and customized exercise recommendations. The feedback is delivered to users through mobile applications, enabling continuous improvement of posture based on individual patterns and needs.
Solution Approach 2:
The system changes the parameter of data processing by applying AI algorithms to transform raw posture measurement data into actionable insights. This includes analyzing posture patterns, identifying deviations from optimal posture, and generating personalized exercise prescriptions based on individual user characteristics and measured posture parameters.
2Reliability
If general posture correction methods are applied, then basic posture awareness is improved, but individual user needs and specific posture problems are not addressed
Solution Approach 1:
The system applies local quality by providing customized exercise recommendations targeted at specific posture problems detected in individual users. Rather than generic advice, the AI algorithm identifies specific posture deviations (e.g., forward head posture, rounded shoulders) and prescribes exercises tailored to correct those particular issues based on the user's unique posture pattern.
Solution Approach 2:
The system performs preliminary action by using AI algorithms to analyze posture data and identify correction needs before users attempt exercises. The system pre-processes posture measurements, compares them against optimal posture standards, and prepares personalized exercise prescriptions in advance, enabling users to start effective correction immediately.
3Adaptability or versatility
If AI deep learning programs are used to analyze posture data, then personalized exercise recommendations are improved, but system complexity increases
Solution Approach 1:
The system uses an intermediary approach by implementing a layered architecture where wearable devices collect data, cloud-based servers perform AI analysis, and mobile applications deliver results. This intermediary structure distributes system complexity across multiple components, allowing sophisticated AI processing without overwhelming the user interface or requiring complex local processing on wearable devices.
Solution Approach 2:
The system replaces complex mechanical processing with computational methods. Instead of using complex hardware systems to analyze and prescribe exercises, the patent substitutes mechanical complexity with software-based AI algorithms that process posture data and generate recommendations through computational analysis, reducing physical system complexity while maintaining high personalization capability.
Data Source
AI summary
Provided are a system and method for artificial intelligence (AI) posture correction exercise recommendation using a wearable device. The system includes wearable devices which are worn and used by users for posture measurement and include sensors for sensing the users' postures in 360° directions and a posture correction exercise recommendation device which generates big data by collecting 360°-direction sensing data provided by the wearable devices, analyzes a direction in which a body of each of the users tilts in the 360° directions by analyzing the generated big data through an AI program, and recommends a customized posture correction exercise to a user terminal of each of the users on the basis of analysis results.