Oral presentation on International Virtual Conference on ‘Artificial Intelligence for Smart Community’ IVC AISC 2020

1. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Authors
Smart Children Management using Data Analytics,
Machine Learning and IoT
17 - 18 December 2020
1
Md Jobair Hossain Faruka,
College of Computing and Software
Engineering
Kennesaw State University, USA
mhossa21@students.kennesaw.edu
Muhamad Hariz Muhamad Adnanb,
Faculty of Art, Computing and Creative
Industry
Sultan Idris Education University, Malaysia
mhariz@fskik.upsi.edu.my

2. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Outline
17 - 18 December 2020
2
Background
Literature
Review
Discussion
Preliminary
Survey

3. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Purposes and Contributions
17 - 18 December 2020
3
Demonstrate
comprehensive
evaluation on
“Smart Children
Management”
01
Investigate the
potentials of
three research
areas
02
Evaluate the
importance of
chosen
approaches
03
Present the
preliminary
survey outcome
04

4. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
▪ If you are not at home, how do
you monitor your kids?
17 - 18 December 2020
4
Let’s
think
about a
possible
scenario!
Problem Statement

5. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Background
17 - 18 December 2020
5
Children's programs are now more important to parents (Davidoff et al.
2006; Lee et al. 2007)
Various methods followed by families to handle all the children activities
(Taylor and Swan 2005; Tolmie et al. 2002)
Managing the refractory actions are one of the greatest challenges faced
by parents (Child Mind Institute)
Concept of “Smart System” can be the potential to solve the existing
problem (Lee et al. 2006; Sendra et al. 2018)

6. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Potential Approaches
17 - 18 December 2020
6

7. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Bed-Activities and Vital Signs Monitoring System
17 - 18 December 2020
7
Introduced by a
group of
researchers from
the University of
Georgia
Real-time,
Contactless,
Bed-mounted,
and Vibrations
signal based
Capable to
monitor sleep
activities, body
movement, falls
from bed, and
posture changes
Estimate vital
sign, for
instance, heart
rate (HR) and
respiration rate
(RR)

8. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Healthcare Monitoring System
17 - 18 December 2020
8
IoT-based smart
and secure health
care system
Monitor behavioural
and health issues
Predict child
disorders

9. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Activity Recognition and Diagnostic Approach
17 - 18 December 2020
9
Real-time and continuous activity recognition-based
knowledge-driven system
Robust in analysing, and predicting child-development
Energy-expenditure estimation, child-obesity prevention, child
safety in and around the home
The system can race the activity of daily living (ADL)

10. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Emotion-Aware Big Data Framework
17 - 18 December 2020
1
5G enabled, emotion-aware, healthcare-based big data
framework
Analyse the speech and image signals of human
Detect and display the selected emotional parameter

11. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Discussion
17 - 18 December 2020
11
Activity Recognition and
Diagnostic Approach
Satisfactory accuracy in activity recognition has achieved which is 94.44 % while the average run
time was measured 2.5 seconds.
Emotion-Aware Big Data
Framework
The accuracy in terms of recognizing emotion demonstrated higher than 80.87%.
Health Care Monitoring
System
Identifying and monitoring children’s health issues; particularly, ADHD, mental health, and
diabetics shows potential robustness.
Bed-Activities and Vital
Signs Monitoring System
The accuracy of detecting and alerting falls from bed, monitoring heart and respiration rate is
significantly higher than 95%.

12. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Preliminary Survey
▪ The chart presents the
survey results of different
questionnaires for smart
management approaches
17 - 18 December 2020
12
0
10
20
30
40
50
60
70
80
90
Respondents Technologies Acceptability Expectation
Bangladesh Malaysia Indicators

13. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Future Work
▪ We aim to work extensively to implement an
ideal “Smart Management System for Children”
17 - 18 December 2020
1

14. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
References
▪ Davidoff S, Lee MK, Yiu C, Zimmerman J, Dey AK. Principles of smart home
control. Lect Notes Comput Sci (including Subser Lect Notes Artif Intell Lect
Notes Bioinformatics). 2006;4206 LNCS:19–34.
▪ Lee MK, Davidoff S, Zimmerman J, Dey AK. Smart bag: Managing home and
raising children. Proc 2007 Conf Des Pleasurable Prod Interfaces, DPPI’07.
2007;434–7.
▪ Lee MK, Davidof S, Zimmerman J, Dey A. Smart Homes, Families, and Controls.
2006; Available from:
https://pdfs.semanticscholar.org/b751/6530ebffe5b7202f0ac201aefc7850b87a5
2.pdf?_ga=2.123838666.1183646419.1597302163-2076110809.1586498474
▪ Yang H, Lee W, Lee H. IoT Smart Home Adoption: The Importance of Proper
Level Automation. J Sensors. 2018;2018.
▪ Taylor AS, Swan L. Artful systems in the home. CHI 2005 Technol Safety,
Community Conf Proc - Conf Hum Factors Comput Syst. 2005;641–50.
▪ Tolmie P, Pycock J, Diggins T, MacLean A, Karsenty A. Unremarkable
computing. Conf Hum Factors Comput Syst - Proc. 2002;4(1):399–406.
17 - 18 December 2020
1

15. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
Q. A.
17 - 18 December 2020
11

16. International Virtual Conference on
‘Artificial Intelligence for Smart Community’ – IVC-AISC 2020
COLLABORATORS
17 - 18 December 2020
16
Thank You!
Presenter,
Md Jobair Hossain Faruk,
Kennesaw State University, USA
mhossa21@students.kennesaw.edu