An anti-drug mobile application with smart alerting for parents

Yeung Tsz Hei; Ng Chi Kit; Vincent To Yee Ng

doi:10.1109/ICASI.2017.7988498

An anti-drug mobile application with smart alerting for parents

Yeung Tsz Hei
, Ng Chi Kit
, Vincent To Yee Ng

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

The emergence of hidden drug abuse youth has brought the society's attention. Traditional ways of drug abuse assistance are not sufficient to handle this serious issue. Intelligent methods have been developed to analyze behavior and alert parents and anti-drug workers, in order to overcome drug abuse problem on youths. In this paper, we discuss an intelligent alerting tool to detect the possibility of drug abuse of a young student, and to alert corresponding parents and social workers for remedial actions. The tool is embedded in a series of mobile applications for promoting anti-drugs amongst youths. For the alerting function, a number of data mining and text analysis techniques have been adopted for behavior analysis. A supporting instant messaging has been co-developed for communicating alerting messages. Some preliminary evaluation work has been experimented and reported.

Original language	English
Title of host publication	Proceedings of the 2017 IEEE International Conference on Applied System Innovation
Subtitle of host publication	Applied System Innovation for Modern Technology, ICASI 2017
Publisher	IEEE
Pages	1950-1953
Number of pages	4
ISBN (Electronic)	9781509048977
DOIs	https://doi.org/10.1109/ICASI.2017.7988498
Publication status	Published - 21 Jul 2017
Event	2017 IEEE International Conference on Applied System Innovation, ICASI 2017 - Hotel Emisia, Sapporo, Japan Duration: 13 May 2017 → 17 May 2017

Conference

Conference	2017 IEEE International Conference on Applied System Innovation, ICASI 2017
Country/Territory	Japan
City	Sapporo
Period	13/05/17 → 17/05/17

UN SDGs

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

SDG 3 Good Health and Well-being

Keywords

Alerting
Behaviour analysis
Decision Tree
Drug Abuse
Instant Messaging
Logistic Regression

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications
Hardware and Architecture
Safety, Risk, Reliability and Quality
Mechanical Engineering
Media Technology
Health Informatics
Instrumentation

More information

10.1109/ICASI.2017.7988498

Cite this

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title = "An anti-drug mobile application with smart alerting for parents",

abstract = "The emergence of hidden drug abuse youth has brought the society's attention. Traditional ways of drug abuse assistance are not sufficient to handle this serious issue. Intelligent methods have been developed to analyze behavior and alert parents and anti-drug workers, in order to overcome drug abuse problem on youths. In this paper, we discuss an intelligent alerting tool to detect the possibility of drug abuse of a young student, and to alert corresponding parents and social workers for remedial actions. The tool is embedded in a series of mobile applications for promoting anti-drugs amongst youths. For the alerting function, a number of data mining and text analysis techniques have been adopted for behavior analysis. A supporting instant messaging has been co-developed for communicating alerting messages. Some preliminary evaluation work has been experimented and reported.",

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author = "Hei, \{Yeung Tsz\} and Kit, \{Ng Chi\} and Ng, \{Vincent To Yee\}",

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Hei, YT, Kit, NC & Ng, VTY 2017, An anti-drug mobile application with smart alerting for parents. in Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017., 7988498, IEEE, pp. 1950-1953, 2017 IEEE International Conference on Applied System Innovation, ICASI 2017, Sapporo, Japan, 13/05/17. https://doi.org/10.1109/ICASI.2017.7988498

An anti-drug mobile application with smart alerting for parents. / Hei, Yeung Tsz; Kit, Ng Chi; Ng, Vincent To Yee.
Proceedings of the 2017 IEEE International Conference on Applied System Innovation: Applied System Innovation for Modern Technology, ICASI 2017. IEEE, 2017. p. 1950-1953 7988498.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - The emergence of hidden drug abuse youth has brought the society's attention. Traditional ways of drug abuse assistance are not sufficient to handle this serious issue. Intelligent methods have been developed to analyze behavior and alert parents and anti-drug workers, in order to overcome drug abuse problem on youths. In this paper, we discuss an intelligent alerting tool to detect the possibility of drug abuse of a young student, and to alert corresponding parents and social workers for remedial actions. The tool is embedded in a series of mobile applications for promoting anti-drugs amongst youths. For the alerting function, a number of data mining and text analysis techniques have been adopted for behavior analysis. A supporting instant messaging has been co-developed for communicating alerting messages. Some preliminary evaluation work has been experimented and reported.

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KW - Decision Tree

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KW - Instant Messaging

KW - Logistic Regression

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ER -

An anti-drug mobile application with smart alerting for parents

Abstract

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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Cite this