Motion Capture Sensor with Personality-Based Power Management
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Solution Overview
Problem
Existing motion capture sensors are limited by accuracy, power usage, and functionality, and lack the ability to seamlessly integrate with various equipment and clothing, failing to provide comprehensive motion analysis and data mining capabilities for diverse applications.
Innovation Solution
A wireless motion capture sensor system that captures orientation, position, velocity, acceleration, proximity, and strain data, with customizable sensor personalities for specific equipment or clothing, enabling advanced calibration, power efficiency, and data mining capabilities, allowing for remote monitoring and analysis using mobile devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If motion capture sensors are made more accurate, then measurement precision is improved, but power consumption increases
Solution Approach 1:
The sensor system dynamically adjusts sampling rates based on motion intensity and activity type. During high-motion events, the sampling rate increases to capture detailed motion data, while during low-motion periods, the rate decreases to conserve power. This dynamic adaptation resolves the contradiction between maintaining measurement precision and reducing power consumption.
Solution Approach 2:
The system changes operational parameters including sampling frequency, data transmission intervals, and processing intensity based on detected motion characteristics. By adjusting these parameters in real-time, the system maintains accurate motion capture during critical moments while minimizing power consumption during stable periods.
2Adaptability or versatility
If sensor functionality is expanded to capture multiple motion parameters, then adaptability is improved, but device complexity increases
Solution Approach 1:
The sensor system is designed as a universal platform that can capture multiple motion parameters (orientation, position, velocity, acceleration, proximity, strain) using a single integrated sensor assembly. This multi-functional approach allows the same hardware to serve various application needs without increasing complexity, as the sensor personality module handles different measurement configurations.
Solution Approach 2:
The sensor personality module acts as an intermediary layer between the physical sensors and the application logic. It manages the complexity of multiple sensor types and parameters by providing standardized interfaces and pre-configured measurement profiles, thereby simplifying the overall system architecture while maintaining high adaptability.
3Measurement precision
If data sampling rate is increased to improve motion analysis, then measurement precision is improved, but power usage increases
Solution Approach 1:
The system implements periodic data collection with variable intervals based on motion detection. During periods of significant motion, sampling occurs at high frequency to ensure accurate motion analysis. During periods of minimal motion, sampling intervals are extended or the sensor enters low-power mode, thereby maintaining measurement precision when needed while reducing overall power consumption.
Data Source
AI summary
Intelligent motion capture element that includes sensor personalities that optimize the sensor for specific movements and/or pieces of equipment and/or clothing and may be retrofitted onto existing equipment or interchanged therebetween and automatically detected for example to switch personalities. May be used for low power applications and accurate data capture for use in healthcare compliance, sporting, gaming, military, virtual reality, industrial, retail loss tracking, security, baby and elderly monitoring and other applications for example obtained from a motion capture element and relayed to a database via a mobile phone. System obtains data from motion capture elements, analyzes data and stores data in database for use in these applications and/or data mining. Enables unique displays associated with the user, such as 3D overlays onto images of the user to visually depict the captured motion data. Enables performance related equipment fitting and purchase. Includes active and passive identifier capabilities.