Sensor Glove Joint Calibration With Adaptive Data Ranges
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Solution Overview
Problem
Existing technologies face challenges in accurately calibrating glove data for precise recognition and restoration of hand movements due to individual differences and variations in finger flexibility and strength, leading to inaccurate mapping relationships between sensing data and joint angles.
Innovation Solution
A method and system for calibrating glove data by obtaining first sensing data from sensors at or near target finger joints, updating preset data ranges based on designated actions, and determining a mapping relationship between the updated data range and joint angles, using strain and inertial sensors to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a fixed preset data range is used for calibration, then the calibration process is simple, but the mapping accuracy deteriorates due to individual differences in finger flexibility and strength
Solution Approach 1:
The patent transforms the static preset data range into a dynamic adaptive range that automatically adjusts based on actual sensing data. The system collects multiple sets of sensing data during calibration, identifies the actual data range exhibited by the user, and updates the preset range to match. This dynamic adaptation resolves the contradiction by maintaining calibration simplicity while achieving user-specific accuracy.
Solution Approach 2:
The patent changes the parameter of the data range from fixed to variable. By comparing actual sensing data with the preset range and updating the range boundaries based on observed extremes, the system adapts the calibration parameters to individual user characteristics. This parameter change enables both ease of calibration and high mapping accuracy.
2Measurement precision
If individual calibration for each user is performed, then mapping accuracy improves, but the calibration time and complexity increase
Solution Approach 1:
The patent implements a self-service calibration mechanism where the system automatically collects sensing data, determines the actual data range, and updates calibration parameters without requiring manual intervention or expert adjustment. Users simply wear the glove and perform natural movements, and the system handles the entire calibration process autonomously, achieving high accuracy without increasing user time investment.
Solution Approach 2:
The patent performs preliminary data collection and range determination during the initial calibration phase. By gathering multiple sets of sensing data in advance and establishing the actual data range beforehand, the system prepares accurate calibration parameters before actual use. This preliminary action ensures high mapping accuracy while keeping the calibration process efficient and user-friendly.
3Adaptability or versatility
If the preset data range is updated based on actual sensing data, then adaptability to individual users improves, but the complexity of the calibration system increases
Solution Approach 1:
The patent implements a feedback mechanism where the system continuously monitors sensing data, compares it with the preset range, and automatically updates the calibration parameters based on the observed actual range. This closed-loop feedback process enables the system to adapt to individual user characteristics without requiring complex manual configuration or sophisticated algorithms, maintaining system simplicity while achieving high adaptability.
Data Source
AI summary
Provided is a method for calibrating glove data. The method includes: obtaining first sensing data relating to a target finger joint of a user, the first sensing data being collected using at least one sensor, each of the at least one sensor being arranged in a glove body worn by the user and located at or near the target finger joint; obtaining a preset data range corresponding to the first sensing data, there is a first mapping relationship between data in the preset data range and a joint angle of the target finger joint; in response to determining that the first sensing data is outside the preset data range, updating the preset data range; and determining a second mapping relationship between data in the updated preset data range and the joint angle of the target finger joint.