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Measuring accurate body parameters of dressed humans with large-scale motion using a Kinect sensor
1School of Electronic Science and Engineering, Nanjing University, Nanjing 210046, China. allanyu@nju.edu.cn.
Sensors (Basel, Switzerland)
|September 26, 2013
Summary
This study presents a novel method for accurate non-contact human body measurement, even when individuals wear clothes. The approach uses motion analysis to overcome clothing interference, improving body parameter estimation.
Area of Science:
- Computer Vision and Human-Computer Interaction
- Biometric Measurement and Analysis
Background:
- Non-contact human body measurement is crucial for applications like healthcare and e-commerce.
- Existing methods struggle with accuracy when individuals wear clothing, limiting public use.
Purpose of the Study:
- To develop an effective solution for accurate non-contact human body parameter measurement.
- To address the challenge of measuring clothed individuals, especially those with significant motion.
Main Methods:
- Utilized a Kinect sensor for data acquisition.
- Employed space-time analysis to interpret information from posture variations.
- Developed a method to recover underlying body shape despite clothing effects.
Main Results:
- Successfully measured accurate human body parameters from clothed individuals.
- Demonstrated superior accuracy in parameter estimation compared to existing state-of-the-art methods.
- Validated the system's effectiveness with large-scale motion data.
Conclusions:
- The proposed space-time analysis effectively overcomes clothing interference in non-contact body measurement.
- This method enhances the applicability of human body measurement in real-world, public scenarios.
- The system offers a significant advancement in accurate, clothed human body parameter estimation.
