Analyzing Children’s Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design

Qianxi Zhang; Gang Wang; Yat Ming Loo; Xinkai Wang; Xiumin Xia; Xingyu Mu

doi:10.1007/978-981-97-0791-1_1

Analyzing Children’s Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design

Qianxi Zhang
, Gang Wang^*
, Yat Ming Loo
, Xinkai Wang
, Xiumin Xia
, Xingyu Mu

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

School-to-home streets are an important part of the public space network of child-friendly cities. The improvement of their child-friendliness needs to be based on the investigation and evaluation of the current usage status. The traditional site investigation methods are limited by manpower and time, lack of efficiency and effectiveness. This paper proposes a new analysis framework for children’s street behaviors based on AI recognition methods, including action recognition algorithm, human flow statistic algorithm, and target tracking algorithm. It takes one school-to-home street in the Mingdong community, Ningbo city as a case study. Based on the AI recognition of this street’s surveillance videos, the result data verifies the effectiveness of street usage analysis. This is valuable to promote the child-friendly school-to-home street design in the future.

Original language	English
Title of host publication	Computer Science and Education. Teaching and Curriculum - 18th International Conference, ICCSE 2023, Proceedings
Editors	Wenxing Hong, Geetha Kanaparan
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	3-13
Number of pages	11
ISBN (Print)	9789819707904
DOIs	https://doi.org/10.1007/978-981-97-0791-1_1
Publication status	Published - 2024
Event	18th International Conference on Computer Science and Education, ICCSE 2023 - Sepang, Malaysia Duration: 1 Dec 2023 → 7 Dec 2023

Publication series

Name	Communications in Computer and Information Science
Volume	2024 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	18th International Conference on Computer Science and Education, ICCSE 2023
Country/Territory	Malaysia
City	Sepang
Period	1/12/23 → 7/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education
SDG 11 Sustainable Cities and Communities

Free Keywords

AI recognition algorithms
Child-friendly design
Children’s environmental behaviors
School-to-home street
Surveillance videos

ASJC Scopus subject areas

General Computer Science
General Mathematics

Access to Document

10.1007/978-981-97-0791-1_1

Cite this

Zhang, Q., Wang, G., Loo, Y. M., Wang, X., Xia, X., & Mu, X. (2024). Analyzing Children’s Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design. In W. Hong, & G. Kanaparan (Eds.), Computer Science and Education. Teaching and Curriculum - 18th International Conference, ICCSE 2023, Proceedings (pp. 3-13). (Communications in Computer and Information Science; Vol. 2024 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-97-0791-1_1

Zhang, Qianxi ; Wang, Gang ; Loo, Yat Ming et al. / Analyzing Children’s Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design. Computer Science and Education. Teaching and Curriculum - 18th International Conference, ICCSE 2023, Proceedings. editor / Wenxing Hong ; Geetha Kanaparan. Springer Science and Business Media Deutschland GmbH, 2024. pp. 3-13 (Communications in Computer and Information Science).

@inproceedings{3b91d3cd3dba43299cf534d8d57bcd07,

title = "Analyzing Children{\textquoteright}s Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design",

abstract = "School-to-home streets are an important part of the public space network of child-friendly cities. The improvement of their child-friendliness needs to be based on the investigation and evaluation of the current usage status. The traditional site investigation methods are limited by manpower and time, lack of efficiency and effectiveness. This paper proposes a new analysis framework for children{\textquoteright}s street behaviors based on AI recognition methods, including action recognition algorithm, human flow statistic algorithm, and target tracking algorithm. It takes one school-to-home street in the Mingdong community, Ningbo city as a case study. Based on the AI recognition of this street{\textquoteright}s surveillance videos, the result data verifies the effectiveness of street usage analysis. This is valuable to promote the child-friendly school-to-home street design in the future.",

keywords = "AI recognition algorithms, Child-friendly design, Children{\textquoteright}s environmental behaviors, School-to-home street, Surveillance videos",

author = "Qianxi Zhang and Gang Wang and Loo, \{Yat Ming\} and Xinkai Wang and Xiumin Xia and Xingyu Mu",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; 18th International Conference on Computer Science and Education, ICCSE 2023 ; Conference date: 01-12-2023 Through 07-12-2023",

year = "2024",

doi = "10.1007/978-981-97-0791-1\_1",

language = "English",

isbn = "9789819707904",

series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "3--13",

editor = "Wenxing Hong and Geetha Kanaparan",

booktitle = "Computer Science and Education. Teaching and Curriculum - 18th International Conference, ICCSE 2023, Proceedings",

address = "Germany",

}

Zhang, Q, Wang, G, Loo, YM, Wang, X, Xia, X & Mu, X 2024, Analyzing Children’s Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design. in W Hong & G Kanaparan (eds), Computer Science and Education. Teaching and Curriculum - 18th International Conference, ICCSE 2023, Proceedings. Communications in Computer and Information Science, vol. 2024 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 3-13, 18th International Conference on Computer Science and Education, ICCSE 2023, Sepang, Malaysia, 1/12/23. https://doi.org/10.1007/978-981-97-0791-1_1

Analyzing Children’s Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design. / Zhang, Qianxi; Wang, Gang; Loo, Yat Ming et al.
Computer Science and Education. Teaching and Curriculum - 18th International Conference, ICCSE 2023, Proceedings. ed. / Wenxing Hong; Geetha Kanaparan. Springer Science and Business Media Deutschland GmbH, 2024. p. 3-13 (Communications in Computer and Information Science; Vol. 2024 CCIS).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Analyzing Children’s Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design

AU - Zhang, Qianxi

AU - Wang, Gang

AU - Loo, Yat Ming

AU - Wang, Xinkai

AU - Xia, Xiumin

AU - Mu, Xingyu

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024

Y1 - 2024

N2 - School-to-home streets are an important part of the public space network of child-friendly cities. The improvement of their child-friendliness needs to be based on the investigation and evaluation of the current usage status. The traditional site investigation methods are limited by manpower and time, lack of efficiency and effectiveness. This paper proposes a new analysis framework for children’s street behaviors based on AI recognition methods, including action recognition algorithm, human flow statistic algorithm, and target tracking algorithm. It takes one school-to-home street in the Mingdong community, Ningbo city as a case study. Based on the AI recognition of this street’s surveillance videos, the result data verifies the effectiveness of street usage analysis. This is valuable to promote the child-friendly school-to-home street design in the future.

AB - School-to-home streets are an important part of the public space network of child-friendly cities. The improvement of their child-friendliness needs to be based on the investigation and evaluation of the current usage status. The traditional site investigation methods are limited by manpower and time, lack of efficiency and effectiveness. This paper proposes a new analysis framework for children’s street behaviors based on AI recognition methods, including action recognition algorithm, human flow statistic algorithm, and target tracking algorithm. It takes one school-to-home street in the Mingdong community, Ningbo city as a case study. Based on the AI recognition of this street’s surveillance videos, the result data verifies the effectiveness of street usage analysis. This is valuable to promote the child-friendly school-to-home street design in the future.

KW - AI recognition algorithms

KW - Child-friendly design

KW - Children’s environmental behaviors

KW - School-to-home street

KW - Surveillance videos

UR - https://www.scopus.com/pages/publications/85187797253

U2 - 10.1007/978-981-97-0791-1_1

DO - 10.1007/978-981-97-0791-1_1

M3 - Conference contribution

AN - SCOPUS:85187797253

SN - 9789819707904

T3 - Communications in Computer and Information Science

SP - 3

EP - 13

BT - Computer Science and Education. Teaching and Curriculum - 18th International Conference, ICCSE 2023, Proceedings

A2 - Hong, Wenxing

A2 - Kanaparan, Geetha

PB - Springer Science and Business Media Deutschland GmbH

T2 - 18th International Conference on Computer Science and Education, ICCSE 2023

Y2 - 1 December 2023 through 7 December 2023

ER -

Zhang Q, Wang G, Loo YM, Wang X, Xia X, Mu X. Analyzing Children’s Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design. In Hong W, Kanaparan G, editors, Computer Science and Education. Teaching and Curriculum - 18th International Conference, ICCSE 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2024. p. 3-13. (Communications in Computer and Information Science). doi: 10.1007/978-981-97-0791-1_1

Analyzing Children’s Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this