Wearable Vibration Guidance for AI-Based Movement Training
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems lack efficient, cost-effective methods for providing real-time monitoring and directional assistance in physical activities, particularly in sports, performing arts, and combat training, due to the scarcity of skilled coaches and the need for personalized training.
Innovation Solution
A system and method utilizing a wearable device with vibrating units, sensors, and a cloud server that analyzes user movements using AI to provide real-time feedback and guidance, enabling precise movement training with minimal human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If one-on-one personalized training is provided by skilled coaches, then the quality of movement correction and training effectiveness is improved, but the cost and scalability worsen due to the scarcity of coaches
Solution Approach 1:
The system creates a digital copy of the coach's expertise by capturing pre-defined movement patterns and correction strategies, storing them in a database, and automatically retrieving and applying them through AI algorithms. This allows the system to replicate personalized coaching for multiple users simultaneously without requiring additional human coaches.
Solution Approach 2:
The wearable device and monitoring system enable users to receive automated real-time feedback and correction without continuous human intervention. The system autonomously monitors movements, compares them against predefined patterns, and provides corrective guidance, allowing users to self-correct their movements based on AI-driven feedback.
2Measurement precision
If real-time monitoring and directional assistance is provided for multiple users, then the training effectiveness and movement precision are improved, but the system complexity and cost increase
Solution Approach 1:
The system employs a multi-functional integrated platform that combines wearable sensors, video capture, LiDAR scanning, AI processing, and feedback delivery into a single unified system. The cloud-based architecture allows the same infrastructure to serve multiple users across different activities, reducing per-user complexity and cost while maintaining high monitoring precision.
Solution Approach 2:
The system introduces an AI-based intermediary layer that acts as a bridge between raw sensor data and user feedback. The AI algorithms process complex multi-source data (accelerometers, gyroscopes, video, LiDAR) and translate them into simplified, actionable directional guidance, reducing the computational burden on hardware and simplifying the user interface.
3Extent of automation
If pre-defined movement patterns and AI analysis are implemented, then the automation level and efficiency are improved, but the initial system setup and data processing complexity increase
Solution Approach 1:
The system performs preliminary actions by pre-defining movement patterns, correction strategies, and performance criteria during system setup. These pre-configured parameters are stored in a database and automatically retrieved during training sessions, eliminating the need for real-time complex decision-making and reducing computational complexity during actual use.
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 cost-effective, precise, and customizable movement training with AI-driven feedback, improving user performance and agility in physical activities.
Implementation Method 1
a wearable device for being worn on a plurality of parts on a body of a user, wherein the wearable device including a plurality of vibrating devices mounted in different directions
Implementation Method 2
a plurality of LiDAR sensors for capturing three-dimensional data of an area of the activity containing the users
Data Source
AI summary
The present disclosure provides a system for providing directional assistance and training in a physical activity. The system comprises a wearable device (101) including vibrating devices (202), and a processor (102) for controlling the vibrating devices (202), a monitoring system (103) for monitoring an activity containing the users, a cloud server (105) configured to: receive data of monitoring of the activity, from the monitoring system (103), store pre-defined patterns of movements of the body and pre-defined parameters of vibrations for the patterns, identify real-time patterns of movements of the user based on the data received from the monitoring system (103), determine upcoming pattern of movements based on the real-time patterns and the pre-defined patterns, and transmit a command to the processor (102) of the wearable device (101) for controlling the vibrating devices (202) based on the pre-defined parameters of the determined pattern, thereby directing the user in performing the physical activity.