short-paper

Methodology for forecasting user experience for smart and assisted living in affect aware systems

Authors:

Nirmalya Thakur,

Chia Y. HanAuthors Info & Claims

IOT '18: Proceedings of the 8th International Conference on the Internet of Things

Article No.: 42, Pages 1 - 3

https://doi.org/10.1145/3277593.3277630

Published: 15 October 2018 Publication History

Abstract

The application of affect aware systems in a smart home environment has the potential to address challenges in creation of a smart, adaptive, context-aware and assistive living space for elderly people. Affect aware systems that can predict the user experience even before an activity is performed, would provide a scope for effective communications and interactions between users and systems to ensure an adaptive and ambient living environment thereby ensuring more trust on intelligent systems. This paper therefore proposes an approach for forecasting user experiences in the context of affect aware systems to assist elderly people in smart homes. The preliminary result of the proposed analytical approach is supported by a random-forest based predictive model that achieves an overall prediction accuracy of 67% when evaluated on a subset of the UK DALE Dataset. [1]

References

[1]

K. Jack and K.William, "The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes," Sci. Data, vol. 2, p. 150007, Sep. 2015.

[2]

J T Arokiasamy, SM, Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur "Social Problems and Care of the Elderly" Med J Malaysia Vol 52 No 3 September 1997.

[3]

Thato E. Foko, Nomusa Dlodlo, Litsietsi Montsi "An Integrated Smart System for Ambient-Assisted Living" S. Balandin et al. (Eds.): NEW2AN/ruSMART 2013, LNCS 8121, pp. 128--138, 2013. © Springer-Verlag Berlin Heidelberg 2013.

[4]

B. Tang, Z. Chen, G. Hefferman, T. Wei, H. He, Q. Yang, A Hierarchical Distributed Fog Computing Architecture for Big Data Analysis in Smart Cities, ASE Big Data & Social Informatics, Kaohsiung, Taiwan, October 2015.

Digital Library

[5]

Xuesheng Qian, Yifeng Xu, Jing Zhang, Zhengchuan Xu, "Happy Index: Analysis Based on Automatic Recognition of Emotion Flow" ICMSS '17: Proceedings of the 2017 International Conference on Management Engineering, Software Engineering and Service Sciences, January 2017.

Digital Library

[6]

S. Planalp, Communicating emotion: Social, moral, and cultural processes. Cambridge University Press, 1999.

[7]

H. Wallbott, "Bodily expressions of emotion," EUR J SOC PSYCHOL, vol. 28, pp. 879--896, 1998.

[8]

P. Ekman and W. Friesen, "The repertoire of nonverbal behavior: Categories, origins, usage, and coding," SEMIOTICA, vol. 1, no. 1, pp. 49--98, 1969.

[9]

Ekman, P. and Friesen, W.V. and Hager, J. 1978. Facial Action Coding System - The Manual. Research Nexus Division of Network Information Research Corporation.

[10]

Martin Wollmer, Florian Eyben, Stephan Reiter, Bjorn Schuller, Cate Cox, Ellen Douglas-Cowie, and Roddy Cowie. Abandoning emotion classes - towards continuous emotion recognition with modelling of long-range dependencies. In 9th Annual Conference of the International Speech Communication Association (Interspeech), pages 597--600, ISCA, Australia, September 2008.

[11]

L C De Silva, T Miyasato, and R Nakatsu. Facial emotion recognition using multi-modal information.1:397.401, September 1997.

[12]

Gonzalo Ferrer and Alberto Sanfeliu "Comparative Analysis of Human Motion Trajectory Prediction using Minimum Variance Curvature" HRI'11, March 6--9, 2011, Lausanne, Switzerland.

[13]

Tao Ma, "A Framework for Modeling and Capturing Social Interactions", PhD. Dissertation, University of Cincinnati, December 2014.

[14]

Saguna, Arkady Zaslavsky and Dipanjan Chakraborty, "Complex Activity Recognition Using Context-Driven Activity Theory and Activity Signatures", ACM Transactions on Computer-Human Interaction, Vol. 20, No.6, Article 32, Dec. 2013.

Digital Library

[15]

Saguna, Arkady Zaslavsky and Dipanjan Chakraborty, "Complex Activity Recognition Using Context-Driven Activity Theory and Activity Signatures", ACM Transactions on Computer-Human Interaction, Vol. 20, No.6, Article 32, Dec. 2013.

Digital Library

[16]

Nirmalya Thakur and Chia Y. Han, "A Complex Activity Based Emotion Recognition Algorithm For Affect Aware Systems", Proceedings of the IEEE-CCWC 2018 Conference, 08--10 January, 2018, Las Vegas, USA.

[17]

O. Ritthoff, R. Klinkenberg, S. Fisher, I. Mierswa, S. Felske. YALE: Yet Another Learning Environment. LLWA'01 - Tagungsband der GI-Workshop-Woche Lernen- Lehren - Wissen Adaptivitat. University of Dortmund, Dortmund, Germany. Technical Report 763. 2001: 84--92.

[18]

Abdulsalam Yassine, Shailendra Singh, And Atif Alamri "Mining Human Activity Patterns From Smart Home Big Data for Health Care Applications" IEEE Special Section On Advances Of Multisensory Services And Technologies For Healthcare In Smart Cities, June 2017.

Cited By

Thakur NDuggal YLiu Z(2023)Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of TweetsComputers10.3390/computers1210019112:10(191)Online publication date: 23-Sep-2023
https://doi.org/10.3390/computers12100191
Zhu ZFu YShen WMihailidis ALiu SZhou WHuang Z(2023)CBASH: A CareBot-Assisted Smart Home System Architecture to Support Aging-in-PlaceIEEE Access10.1109/ACCESS.2023.326427211(33542-33553)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3264272
Thakur NHan C(2020)An Approach for Detection of Walking Related Falls During Activities of Daily Living2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)10.1109/ICBAIE49996.2020.00066(280-283)Online publication date: Jun-2020
https://doi.org/10.1109/ICBAIE49996.2020.00066
Show More Cited By

Recommendations

Service Platform for Continuous Delivery of Assisted Living Systems
Middleware Doctoral Symposium'16: Proceedings of the Doctoral Symposium of the 17th International Middleware Conference

A smart home has potential to support independent living of elderly people in their preferred living environments. However, smart home systems do not fully address the aims of Ambient assisted living (AAL), mainly due to limited support outside the ...
An ambient assisted living nighttime wandering system for elderly
iiWAS '16: Proceedings of the 18th International Conference on Information Integration and Web-based Applications and Services

The Assistive living technologies provide good results for the support of specific activities transforming a home into a smart home. In this paper, we present a personalized ambient support system for elderly suffering from Alzheimer's dementia and ...
Context Aware Computing for Ambient Assisted Living
ICOST 2016: Proceedings of the 14th International Conference on Inclusive Smart Cities and Digital Health - Volume 9677

With the prevalence of wireless technologies, cloud computing and the rapid growth of deployed smart sensors in the past few years, we live in an increasingly interconnected world. These technologies have fostered the dissemination of the Internet of ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

IOT '18: Proceedings of the 8th International Conference on the Internet of Things

October 2018

299 pages

ISBN:9781450365642

DOI:10.1145/3277593

Conference Chairs:
Krzysztof Janowicz
University of California, Santa Barbara
,
Werner Kuhn
University of California, Santa Barbara
,
Program Chairs:
Federica Cena
University of Torino, Italy
,
Armin Haller
Australian National University, Australia
,
Kyriakos G. Vamvoudakis
Georgia Institute of Technology, Georgia Tech

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper

Conference

IOT '18

IOT '18: 8th International Conference on the Internet of Things

October 15 - 18, 2018

California, Santa Barbara, USA

Acceptance Rates

Overall Acceptance Rate 28 of 84 submissions, 33%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

10
Total Citations
View Citations
161
Total Downloads

Downloads (Last 12 months)5
Downloads (Last 6 weeks)0

Reflects downloads up to 21 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Thakur NDuggal YLiu Z(2023)Analyzing Public Reactions, Perceptions, and Attitudes during the MPox Outbreak: Findings from Topic Modeling of TweetsComputers10.3390/computers1210019112:10(191)Online publication date: 23-Sep-2023
https://doi.org/10.3390/computers12100191
Zhu ZFu YShen WMihailidis ALiu SZhou WHuang Z(2023)CBASH: A CareBot-Assisted Smart Home System Architecture to Support Aging-in-PlaceIEEE Access10.1109/ACCESS.2023.326427211(33542-33553)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3264272
Thakur NHan C(2020)An Approach for Detection of Walking Related Falls During Activities of Daily Living2020 International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE)10.1109/ICBAIE49996.2020.00066(280-283)Online publication date: Jun-2020
https://doi.org/10.1109/ICBAIE49996.2020.00066
Thakur NHan C(2020)A Framework for Monitoring Indoor Navigational Hazards and Safety of ElderlyHCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design10.1007/978-3-030-60149-2_56(737-748)Online publication date: 25-Sep-2020
https://doi.org/10.1007/978-3-030-60149-2_56
Thakur NHan C(2020)A Context Driven Indoor Localization Framework for Assisted Living in Smart HomesHCI International 2020 – Late Breaking Papers: Universal Access and Inclusive Design10.1007/978-3-030-60149-2_30(387-400)Online publication date: 25-Sep-2020
https://doi.org/10.1007/978-3-030-60149-2_30
Thakur NHan C(2020)A Framework for Facilitating Human-Human Interactions to Mitigate Loneliness in ElderlyHuman Interaction, Emerging Technologies and Future Applications III10.1007/978-3-030-55307-4_49(322-327)Online publication date: 6-Aug-2020
https://doi.org/10.1007/978-3-030-55307-4_49
Thakur NHan C(2020)Towards a Language for Defining Human Behavior for Complex ActivitiesHuman Interaction, Emerging Technologies and Future Applications III10.1007/978-3-030-55307-4_47(309-315)Online publication date: 6-Aug-2020
https://doi.org/10.1007/978-3-030-55307-4_47
Thakur NHan C(2020)Towards a Knowledge Base for Activity Recognition of Diverse UsersHuman Interaction, Emerging Technologies and Future Applications III10.1007/978-3-030-55307-4_46(303-308)Online publication date: 6-Aug-2020
https://doi.org/10.1007/978-3-030-55307-4_46
Thakur NHan C(2020)An Intelligent Ubiquitous Activity Aware Framework for Smart HomeHuman Interaction, Emerging Technologies and Future Applications III10.1007/978-3-030-55307-4_45(296-302)Online publication date: 6-Aug-2020
https://doi.org/10.1007/978-3-030-55307-4_45
Thakur NHan C(2020)A Multilayered Contextually Intelligent Activity Recognition Framework for Smart HomeHuman Interaction, Emerging Technologies and Future Applications III10.1007/978-3-030-55307-4_42(278-283)Online publication date: 6-Aug-2020
https://doi.org/10.1007/978-3-030-55307-4_42

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents