Proceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments 2020
DOI: 10.1145/3389189.3398005
|View full text |Cite
|
Sign up to set email alerts
|

Evaluation of 3D markerless pose estimation accuracy using openpose and depth information from a single RGB-D camera

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 19 publications
0
1
0
Order By: Relevance
“…This information, along with a motion unit recognition algorithm, is used to compare the correlation between each joint in a single movement. Additionally, it has a quantitative evaluation technology for user movements that stores user motion data generated through body joint estimation, analyzes continuous posture over time, defines a function for an appropriate distance, and compares it with existing stored reference movements [ 13 ].…”
Section: Introductionmentioning
confidence: 99%
“…This information, along with a motion unit recognition algorithm, is used to compare the correlation between each joint in a single movement. Additionally, it has a quantitative evaluation technology for user movements that stores user motion data generated through body joint estimation, analyzes continuous posture over time, defines a function for an appropriate distance, and compares it with existing stored reference movements [ 13 ].…”
Section: Introductionmentioning
confidence: 99%