Mobile Gait Analysis Robot for Multi-Angle User Tracking
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Solution Overview
Problem
Conventional gait analysis devices are limited to analyzing user gait from a fixed position and can only obtain data within a restricted space, failing to provide comprehensive gait data for effective medical or rehabilitation assessments.
Innovation Solution
A robot equipped with sensors, motors, and processors that can identify and follow users while moving to optimal positions for gait analysis, using algorithms like Kalman filters and Voronoi Diagrams to navigate around obstacles and track leg movements, generating gait data for analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed position analysis device is used, then the device structure is simple, but the gait data coverage is limited and comprehensive analysis cannot be achieved
Solution Approach 1:
The analysis device is transformed from a fixed static structure to a mobile dynamic structure. The robot moves along the user's movement direction to capture gait data from multiple positions, converting the system from stationary to mobile for comprehensive data collection.
Solution Approach 2:
The analysis approach transitions from a single fixed viewpoint to multi-position spatial observation. By moving the device along the user's trajectory and capturing data from different spatial locations, the system achieves three-dimensional comprehensive gait analysis.
2Loss of information
If the robot moves to track the user, then comprehensive gait data from multiple angles is obtained, but the control system complexity increases
Solution Approach 1:
The control system continuously receives feedback from sensor data about user position and movement direction. The processor uses this feedback to dynamically adjust the robot's movement and positioning, ensuring optimal observation angles for comprehensive gait data collection.
Solution Approach 2:
Complex mechanical tracking systems are replaced with sensor-based detection and algorithmic processing. Sensors detect user position and movement, and processors calculate optimal robot positioning, substituting mechanical complexity with sensing and computational intelligence.
3Measurement precision
If multiple positions are used for analysis, then gait analysis accuracy is improved, but the time required for data collection increases
Solution Approach 1:
The robot continuously moves and collects gait data along the user's movement direction without interruption. By maintaining continuous data acquisition across multiple positions rather than discrete stationary measurements, the system achieves comprehensive analysis efficiently.
Solution Approach 2:
The system pre-identifies multiple analysis positions along the predicted user trajectory using Kalman filter prediction. By preparing the analysis path in advance based on predicted user movement, the robot minimizes unnecessary movements and optimizes data collection timing.
Data Source
AI summary
A robot and a control method thereof is disclosed. The robot includes a sensor; a motor; and a processor configured to: identify a user based on data obtained through the sensor; identify a position based on a user position of the user and a movement direction of the user, the position being identified from among a plurality of positions located a pre-set distance from the user position; control the motor to move the robot to the position; and obtain gait data corresponding to the user based on the data obtained through the sensor while tracking legs of the user.