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206043

Analysis of Human Arm Movements Using Computer Vision System.

Article

Last updated: 22 Jan 2023

Subjects

-

Tags

Electrical Engineering

Abstract

Visual analysis of human arm motion is currently one of the most active research topics in computer vision. This strong interest is driven by a wide spectrum of promising applications in many areas such as virtual reality, biomechanical analysis, smart surveillance and perceptual- interface. Human behaviors, from image sequences involving human. In this paper, a process is described an algorithm for analyzing the arm motion of a human target in a video sequences by image skeletonization. The novelty of this algorithm comes from (i) automatic arm detection, (ii) removing spurious features, (iii) robust of skeleton and features extraction. The cues of the proposed algorithm are used to determine human arm activities such as velocity of shoulder, elbow, wrist and hand. Unlike other algorithms, this does not require a priori human model, or a large number of "pixels on target". Furthermore, it is computationally inexpensive and thus ideal for video applications such as biomechanical analysis.

DOI

10.21608/bfemu.2021.206043

Keywords

Computer Vision, Motion Segmentation, Image Skeletonization, Feature Extraction, Motion analysis

Authors

First Name

I.

Last Name

El-Nahry

MiddleName

F.

Affiliation

Department of Electrical & Computer Engineering, Suez Canal University, Port-Said, Egypt.

Email

-

City

Port-Said

Orcid

-

First Name

H.

Last Name

El-Hendy

MiddleName

M.

Affiliation

Department of Electrical & Computer Engineering, Suez Canal University, Port-Said, Egypt.

Email

-

City

Port-Said

Orcid

-

Volume

29

Article Issue

3

Related Issue

19657

Issue Date

2004-09-01

Receive Date

2004-07-16

Publish Date

2021-11-22

Page Start

19

Page End

32

Print ISSN

1110-0923

Online ISSN

2735-4202

Link

https://bfemu.journals.ekb.eg/article_206043.html

Detail API

https://bfemu.journals.ekb.eg/service?article_code=206043

Order

11

Type

Research Studies

Type Code

1,205

Publication Type

Journal

Publication Title

MEJ. Mansoura Engineering Journal

Publication Link

https://bfemu.journals.ekb.eg/

MainTitle

-

Details

Type

Article

Created At

22 Jan 2023