Towards a detailed anthropometric body characterization using the Microsoft Kinect.

Area of Science:

• Biometrics
• Human-Computer Interaction
• Ergonomics

Background:

• Anthropometry is crucial in medicine, ergonomics, and biometrics.
• Current anthropometric measurement solutions have significant limitations.
• There is a need for accessible and accurate anthropometric assessment tools.

Purpose of the Study:

• To propose and implement a novel methodology for estimating anthropometric measures.
• To leverage low-cost sensor data, specifically from the Microsoft Kinect, for anthropometric analysis.
• To validate the proposed method against a high-precision system.

Main Methods:

• Utilized data acquired from a Microsoft Kinect sensor.
• Developed a methodology for estimating anthropometric measures based on Kinect data.
• Compared the estimated measures with those obtained from a Qualisys validation system.

Main Results:

• The proposed method demonstrated lower relative errors for certain anthropometric measures compared to state-of-the-art references.
• Achieved a more complete characterization of the whole body structure.
• Validated the accuracy and effectiveness of the Kinect-based approach.

Conclusions:

• The developed methodology provides an effective and accurate means for estimating anthropometric measures using low-cost sensors.
• This approach overcomes limitations of traditional methods, enhancing accessibility in various fields.
• The study highlights the potential of the Microsoft Kinect for advanced anthropometric assessments.