A Method for Comparing Human Postures from Motion Capture Data

Yang, Wei-Ting; Luo, Zhiqiang; Chen, I‐Ming; Yeo, Song Huat

doi:10.1007/978-3-7091-0277-0_52

Cited by 2 publications

(1 citation statement)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The orientation accuracy is about 0.5°, and it handles accelerations up to 180 m/s 2 , but location accuracy is not given in the technical reference. Yang [32] presents a simple and accurate method for evaluating the similarities between human postures from inertial motion capture data. The advantages of these systems are that they can be used both indoors and outdoors, and in any light condition, and since line of sight is not required, can capture motion data from multiple peoples.…”

Section: Inertial Mocap Systemmentioning

confidence: 99%

Ground truth systems for object recognition and tracking

Godil¹,

Eastman²,

Hong³

2013

View full text Add to dashboard Cite

In this report we discuss different types of ground-truth systems used for evaluation of object recognition and tracking systems in industrial manufacturing environments. We discuss four main ways of acquiring ground truth for object recognition and tracking: 1) physics-based simulation ground-truth systems, 2) manual annotation or labeling of ground-truth systems, 3) platform-based ground-truth systems, and 4) physically-based ground-truth systems. We also include a separate discussion of motion capture systems, a special case of physically-based ground-truth systems focused on human tracking. We discuss previous efforts and discuss the different physical quantities used for ground-truth systems. Currently, there are no solid, universal solutions for ground truth measurements for human and object detection and tracking. There are a number of partial solutions suitable for specific applications, with varying drawbacks.

show abstract

Section: Inertial Mocap Systemmentioning

confidence: 99%