On using the Microsoft Kinect$^{\rm TM}$ sensors to determine the lengths of the arm and leg bones of a human subject in motion

TL;DR

This study evaluates the accuracy of Microsoft Kinect sensors in estimating the lengths of arm and leg bones during human motion, revealing significant systematic effects affecting measurement reliability.

Contribution

It compares two Kinect sensor versions in estimating extremity bone lengths, highlighting systematic errors and variability in measurements during motion.

Findings

Large systematic effects observed in sensor outputs

Variability in bone length estimates during motion

Differences between sensor versions identified

Abstract

The present study is part of a broader programme, exploring the possibility of involving the Microsoft Kinect$^{\rm TM}$ sensor in the analysis of human motion. We examine the output obtained from the two available versions of this sensor in relation to the variability of the estimates of the lengths of eight bones belonging to the subject's extremities: of the humerus (upper arm), ulna (lower arm, forearm), femur (upper leg), and tibia (lower leg, shank). Large systematic effects in the output of the two sensors have been observed.