research-article

Intelligent Assistive Robotic Systems for the elderly: Two real-life use cases

Authors:

Xanthi S. Papageorgiou,

Georgia Chalvatzaki,

Athanasios C. Dometios,

Costas S. Tzafestas,

Petros MaragosAuthors Info & Claims

PETRA '17: Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments

Pages 360 - 365

https://doi.org/10.1145/3056540.3076184

Published: 21 June 2017 Publication History

Abstract

Mobility impairments are prevalent in the elderly population and constitute one of the main causes related to difficulties in performing Activities of Daily Living (ADLs) and consequent reduction of quality of life. When designing a user-friendly assistive device for mobility constrained people, it is important to take into account the diverse spectrum of disabilities, which results into completely different needs to be covered by the device for each specific user. An intelligent adaptive behavior is necessary for the deployment of such systems. Also, elderly people have particular needs in specific case of performing bathing activities, since these tasks require body flexibility. We explore new aspects of assistive living via intelligent assistive robotic systems involving human robot interaction in a natural interface. Our aim is to build assistive robotic systems, in order to increase the independence and safety of these procedures. Towards this end, the expertise of professional carers for walking or bathing sequences and appropriate motions have to be adopted, in order to achieve natural, physical human - robot interaction. Our goal is to report current research work related to the development of two real-life use cases of intelligent robotic systems for elderly aiming to provide user-adaptive and context-aware assistance.

References

[1]

C. Balaguer, A. Gimenez, A. Huete, A. Sabatini, M. Topping, and G. Bolmsjo. The mats robot: service climbing robot for personal assistance. Robotics Automation Magazine, IEEE, 13(1):51--58, March 2006.

[2]

P. Brezillon. Context in problem solving: A survey. The Knowledge Engineering Review, 14:1--34, 1999.

Digital Library

[3]

T. C. Chalvatzaki G., Papageorgiou X.S. Gait modelling for a context-aware user-adaptive robotic assistant platform. In Proceedings of the 8th International Conference on Integrated Modeling and Analysis in Applied Control and Automation, Bergeggi, Italy, September 21-23, 2015 (Best Paper Award).

[4]

A. C. Dometios, X. S. Papageorgiou, C. S. Tzafestas, and P. Vartholomeos. Towards ict-supported bath robots: Control architecture description and localized perception of user for robot motion planning. In 2016 24th Mediterranean Conference on Control and Automation (MED), pages 713--718, June 2016.

[5]

B. Driessen, H. Evers, and J. v Woerden. Manus&Uring;a wheelchair-mounted rehabilitation robot. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 215(3):285--290, 2001.

[6]

D. D. Dunlop, S. L. Hughes, and L. M. Manheim. Disability in activities of daily living: patterns of change and a hierarchy of disability. American Journal of Public Health, 87:378--383, 1997.

[7]

P. D. Foundation. Statistics for parkinson's disease, 2010.

[8]

T. Herman et. al. Gait instability and fractal dynamics of older adults with a ŞcautiousŤ gait: why do certain older adults walk fearfully? Gait Posture 2005.

[9]

M. Hillman, K. Hagan, S. Hagan, J. Jepson, and R. Orpwood. The weston wheelchair mounted assistive robot - the design story. Robotica, 20:125--132, 3 2002.

Digital Library

[10]

T. Hirose, S. Fujioka, O. Mizuno, and T. Nakamura. Development of hair-washing robot equipped with scrubbing fingers. In Robotics and Automation (ICRA), 2012 IEEE International Conference on, pages 1970--1975, May 2012.

[11]

S. Katz, A. Ford, R. Moskowitz, B. Jackson, and M. Jaffe. Studies of illness in the aged: The index of adl: a standardized measure of biological and psychosocial function. JAMA, 185(12):914--919, 1963.

[12]

M. Manti, A. Pratesi, E. Falotico, M. Cianchetti, and C. Laschi. Soft assistive robot for personal care of elderly people. In 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), pages 833--838, June 2016.

Digital Library

[13]

A. Muro-de-la-Herran et. al. Gait analysis methods: An overview of wearable and non-wearable systems, highlighting clinical applications. Sensors 2014, 14(2):3362, 2014.

[14]

X. S. Papageorgiou, G. Chalvatzaki, K. N. Lianos, C. Werner, K. Hauer, C. S. Tzafestas, and P. Maragos. Experimental validation of human pathological gait analysis for an assisted living intelligent robotic walker. In 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), pages 1086--1091, June 2016.

Digital Library

[15]

X. S. Papageorgiou, G. Chalvatzaki, C. S. Tzafestas, and P. Maragos. Hidden markov modeling of human normal gait using laser range finder for a mobility assistance robot. In 2014 IEEE International Conference on Robotics and Automation (ICRA), pages 482--487, 2014.

[16]

X. S. Papageorgiou, G. Chalvatzaki, C. S. Tzafestas, and P. Maragos. Hidden markov modeling of human pathological gait using laser range finder for an assisted living intelligent robotic walker. In 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 6342--6347, 2015.

[17]

T. G. Thuruthel, E. Falotico, M. Cianchetti, F. Renda, and C. Laschi. Learning global inverse statics solution for a redundant soft robot. In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics, pages 303--310, 2016.

Digital Library

[18]

M. Topping. An overview of the development of handy 1, a rehabilitation robot to assist the severely disabled. Artificial Life and Robotics, 4(4):188--192.

[19]

Y. Tsumaki, T. Kon, A. Suginuma, K. Imada, A. Sekiguchi, D. Nenchev, H. Nakano, and K. Hanada. Development of a skincare robot. In Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on, pages 2963--2968, May 2008.

[20]

A. Vedaldi, S. Mahendran, S. Tsogkas, S. Maji, R. Girshick, J. Kannala, E. Rahtu, I. Kokkinos, M. Blaschko, D. Weiss, et al. Understanding objects in detail with fine-grained attributes. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 3622--3629, 2014.

Digital Library

[21]

J. Werle and K. Hauer. Design of a bath robot system: User definition and user requirements based on international classification of functioning, disability and health (icf). In 2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pages 459--466, Aug 2016.

Digital Library

Cited By

Misaroș MStan OEnyedi SStan ADonca IMiclea L(2024)A Method for Assessing the Reliability of the Pepper Robot in Handling Office Documents: A Case StudyBiomimetics10.3390/biomimetics90905589:9(558)Online publication date: 16-Sep-2024
https://doi.org/10.3390/biomimetics9090558
Seibert KDomhoff DBruch DSchulte-Althoff MFürstenau DBiessmann FWolf-Ostermann K(2021)Application Scenarios for Artificial Intelligence in Nursing Care: Rapid ReviewJournal of Medical Internet Research10.2196/2652223:11(e26522)Online publication date: 29-Nov-2021
https://doi.org/10.2196/26522
Chalvatzaki GKoutras PTsiami ATzafestas CMaragos P(2021)i-Walk Intelligent Assessment System: Activity, Mobility, Intention, CommunicationComputer Vision – ECCV 2020 Workshops10.1007/978-3-030-66823-5_30(500-517)Online publication date: 3-Jan-2021
https://doi.org/10.1007/978-3-030-66823-5_30
Show More Cited By

Index Terms

Intelligent Assistive Robotic Systems for the elderly: Two real-life use cases
1. Computer systems organization
  1. Embedded and cyber-physical systems
    1. Robotics
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

Recommendations

Social Human-Robot Interaction for the Elderly: Two Real-life Use Cases
HRI '17: Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction

We explore new aspects on assistive living via smart social human-robot interaction (HRI) involving automatic recognition of multimodal gestures and speech in a natural interface, providing social features in HRI. We discuss a whole framework of ...
Mobility assistive devices and self-transfer robotic systems for elderly, a review

When mobility degrades with age, it is of great significance to develop devices which can support the elderly in their day-to-day life. With the usage of intelligent assistive robotic systems, elderly population can lead a better quality of life ...
User centered design in practice: adapting HRI to real user needs
PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments

Here we present the methodological principles and technologies, which compose the backbone of designing the i-Walk platform Human Robot Interaction (HRI) environment. The reported work builds upon experience gained from previous engagement with ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

PETRA '17: Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments

June 2017

455 pages

ISBN:9781450352277

DOI:10.1145/3056540

Copyright © 2017 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]

In-Cooperation

NSF: National Science Foundation
CSE@UTA: Department of Computer Science and Engineering, The University of Texas at Arlington

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 June 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

PETRA '17

PETRA '17: 10th International Conference on PErvasive Technologies Related to Assistive Environments

June 21 - 23, 2017

Island of Rhodes, Greece

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
267
Total Downloads

Downloads (Last 12 months)24
Downloads (Last 6 weeks)2

Reflects downloads up to 18 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Misaroș MStan OEnyedi SStan ADonca IMiclea L(2024)A Method for Assessing the Reliability of the Pepper Robot in Handling Office Documents: A Case StudyBiomimetics10.3390/biomimetics90905589:9(558)Online publication date: 16-Sep-2024
https://doi.org/10.3390/biomimetics9090558
Seibert KDomhoff DBruch DSchulte-Althoff MFürstenau DBiessmann FWolf-Ostermann K(2021)Application Scenarios for Artificial Intelligence in Nursing Care: Rapid ReviewJournal of Medical Internet Research10.2196/2652223:11(e26522)Online publication date: 29-Nov-2021
https://doi.org/10.2196/26522
Chalvatzaki GKoutras PTsiami ATzafestas CMaragos P(2021)i-Walk Intelligent Assessment System: Activity, Mobility, Intention, CommunicationComputer Vision – ECCV 2020 Workshops10.1007/978-3-030-66823-5_30(500-517)Online publication date: 3-Jan-2021
https://doi.org/10.1007/978-3-030-66823-5_30
da Rosa Tavares JVictória Barbosa J(2020)Ubiquitous healthcare on smart environmentsJournal of Ambient Intelligence and Smart Environments10.3233/AIS-20058112:6(513-529)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.3233/AIS-200581
Koutras PChalvatzaki GTsiami ANikolakakis ATzafestas CMaragos P(2019)Video Processing and Learning in Assistive Robotic Applications2019 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP.2019.8803020(2457-2457)Online publication date: Sep-2019
https://doi.org/10.1109/ICIP.2019.8803020
Tonkin EBurrows AWoznowski PLaskowski PYordanova KTwomey NCraddock I(2018)Talk, Text, Tag? Understanding Self-Annotation of Smart Home Data from a User’s PerspectiveSensors10.3390/s1807236518:7(2365)Online publication date: 20-Jul-2018
https://doi.org/10.3390/s18072365
Martins GSantos LDias J(2018)User-Adaptive Interaction in Social Robots: A Survey Focusing on Non-physical InteractionInternational Journal of Social Robotics10.1007/s12369-018-0485-4Online publication date: 16-Jun-2018
https://doi.org/10.1007/s12369-018-0485-4

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