Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
The Role of Health Status in Older Adults’ Perceptions of the Usefulness of eHealth Technology Kapitel lesen Erstes Kapitel lesen

2015 | OriginalPaper | Buchkapitel

Spatial Modeling Factors in Sensor-Based Ambient Assisted Living Technologies Designed for Ageing Populations

verfasst von : Dua’a Al-Hajjar, Reem Al Ehaidib, Sarah Al Muhanna, May Al Sohibani, Areej Al-Wabil

Erschienen in: Human Aspects of IT for the Aged Population. Design for Everyday Life

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper, we synthesize research on the different emerging Ambient Assisted Living (AAL) sensor-based technologies and examine the spatial parameters that are used in these systems. Different lenses in examining the AAL literature are considered, such as the chronological development in sensor-based AAL and the human factors in the design of sensor-based AAL in various contexts. Relevant metrics and standards in AAL design are highlighted. A comparative prospective of these metrics and how they are applied in recent studies and systems are also discussed. The paper presents a categorization of those technologies based on their selection of the spatial information to obtain a clearer understanding of the relationship between spatial modeling and the accuracy of these technologies. Implications for the design of AAL and situated interaction in AAL contexts are discussed.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Aging Working Population: Hearing Impairment a Growing Challenge for the Working Environment
Nächstes Kapitel Modeling the Interaction and Control of Smart Universal Interface for Persons with Disabilities
Literatur
1.
Han, J., Pauwels, E.J., De Zeeuw, P.M., De With, P.H.: Employing a RGB-D sensor for real-time tracking of humans across multiple re-entries in a smart environment. IEEE Trans. Consum. Electron. 58(2), 255–263 (2012)CrossRef
2.
Ando, B.: Measurement technologies to sense “users in the environment” for ambient assisted living. IEEE Inst. Meas. Mag. 15(6), 45–49 (2012)CrossRef
3.
Cunha, D., Trevisan, G., Samagaio, F., Ferreira, L., Sousa, F., Ferreira-Alves, J., Simoes, R.: Ambient assisted living technology: comparative perspectives of users and caregivers. In: IEEE 15th International Conference on e-Health Networking, Applications & Services (Healthcom), Lisbon (2013)
4.
5.
Wan, J., O’Grady, M.J., G. O’Hare, M.: Towards a scalable infrastructure for ambient assisted living. In: IEEE Third International Conference on Consumer Electronics, Berlin (2013)
6.
Amaro, F., Gil, H.: ICT for Elderly People: « Yes, ‘They’ Can! » . In: e-CASE & e-Tech International Conference, Tokyo, Japan (2011)
7.
AAL Joint Programme, “AAL Newsletter September,” Ambient Assisted Living Joint Programme - Newsletter, pp. 1–2 (2013)
8.
Aal, K., Ogonowski, C., Rekowski, T.V., Wieching, R., Wulf, V.: A Fall Preventive iTV Solution for Older Adults. Siegen, Germany (2014)
9.
Aghajan, H., Augusto, J.C., Wu, C., McCullagh, P., Walkden, J.-A.: Distributed vision-based accident management for assisted living. In: Okadome, T., Yamazaki, T., Makhtari, M. (eds.) ICOST. LNCS, vol. 4541, pp. 196–205. Springer, Heidelberg (2007)CrossRef
10.
Alzheimer’s Association, “Technology Improving Lives of People with Dementia.” Memory Matters 14(1), 3 (2014)
11.
Walsh, L., McLoone, S., Behan, J., Dishongh, T.: The Deployment of a Non-Intrusive Alternative to Sleep/Wake Wrist Actigraphy in a Home-Based Study of the Elderly. In: 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Vancouver (2008)
12.
Adami, A.M., Pavel, M., Hayes, T.L., Singer, C.M.: Detection of movement in bed using unobtrusive load cell sensors. IEEE Trans. Inf Technol. Biomed. 14(2), 481–490 (2010)CrossRef
13.
Kaluža, B., Gams, M.: Analysis of daily-living dynamics. J. Ambient Intel. Smart Env. 4(5), 403–414 (2012)
14.
Andrushevich, A., Kistler, R., Bieri, M., Klapproth, A.: ZigBee/IEEE 802.15.4 Technologies in Ambient Assisted Living Applications. In: 3rd European ZigBee Developers’ Conference (EuZDC), Munich, Germany (2009)
15.
Alemdar, H., Durmus, Y., Ersoy, C.: Wireless healthcare monitoring with rfid-enhanced video sensor networks. Int. J. Distrib. Sens. Netw. 2010, 10 (2010)CrossRef
16.
Suryadevara, N.K., Chen, C.-P., Mukhopadhyay, S.C., Rayudu, R.K.: Ambient Assisted Living Framework for Elderly Wellness Determination through Wireless Sensor Scalar Data. In: Seventh International Conference on Sensing Technology (ICST), Wellington (2013)
17.
Rashidi, P., Mihailidis, A.: A survey on ambient-assisted living tools for older adults. IEEE J. Biomed. Health Inf. 17(3), 579–590 (2013)CrossRef
18.
Figueiredo, C.P., Gama, Ó.S., Pereira, C.M., Mendes, P.M., Silva, S., Domingues, L., Hoffmann, K.P.: Autonomy suitability of wireless modules for ambient assisted living applications. In 2010 Fourth International Confere on Sensor Technologies and Applications (SENSORCOMM), Venice (2010)
19.
Estudillo-Valderrama, M.A., Roa, L.M., Reina-Tosina, J., Román-Martínez, I.: Ambient Assisted Living: A Methodological Approach. In: 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS), Buenos Aires (2010)
20.
Andò, B., Baglio, S., Lombardo, C.O.: RESIMA: an assistive paradigm to support weak people in indoor environments. IEEE Trans. Inst. Meas. 63(11), 2522–2528 (2014)
21.
Spanoudakis, N., Grabner, B., Kotsiopoulou, C., Lymperopoulou, O., Moser-Siegmeth, V., Pantelopoulos, S., Sakka, P., Moraitis, P.: A novel architecture and process for Ambient Assisted Living - the HERA approach. In: 2010 10th IEEE International Conference on Information Technology and Applications in Biomedicine (ITAB), Corfu, (2010)
22.
Culmone, R., Falcioni, M., Giuliodori, P., Merelli, E., Orru, A., Quadrini, M., Ciampolini, P., Grossi, F, Matrella, G.: AAL domain ontology for event-based human activity recognition. In: IEEE/ASME 10th International Conference on Mechatronic and Embedded Systems and Applications (MESA), Senigallia (2014)
23.
Maurer, U., Smailagic, A., Siewiorek, D.P., Deisher, M.: Activity recognition and monitoring using multiple sensors on different body positions. In: International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), Cambridge (2006)
24.
Stelios, M.A., Nick, A.D., Effie, M.T.: An indoor localization platform for ambient assisted living using UWB. In: The 6th International Conference in Advances in Mobile Computing and Multimedia (MoMM 2008), Linz, Austria (2008)
25.
Zouba, N., Bremond, F., Thonnat, M., Anfosso, A., Pascual, É., Mallea, P., Mailland, V., Guerin, O.: Assessing computer systems for monitoring elderly people living at home. In: The 19th IAGG World Congress of Gerontology and Geri-atrics, Paris (2009)
26.
Pollack, M.E., Brown, L., Colbry, D., McCarthy, C.E., Orosz, C., Peintner, B., Ramakrishnan, S., Tsamardinos, I.: Autominder: an intelligent cognitive orthotic system for people with memory impairment. Robot. Aut. Syst. 44(3), 273–282 (2003)CrossRef
27.
Association, Alzheimer’s: Memory Matters. Technol. Imp. Lives People Dementia 14(1), 1–8 (2014)
28.
Barger, T.S., Brown, D.E., Alwan, M.: Health-status monitoring through analysis of behavioral patterns. IEEE Trans. Syst., Man, Cyb. 35(1), 22–27 (2005)CrossRef
29.
Klein, M., Schmidt, A., Lauer, R.: Ontology-centred design of an ambient middleware for assisted living: the case of SOPRANO. In: Towards Ambient Intelligence: Methods for Cooperating Ensembles in Ubiquitous Environments (AIM-CU), 30th Annual German Conference on Artificial Intelligence (KI 2007), Osnabrück (2007)
30.
31.
32.
33.
Valero, Z., Ibáñez, G., Naranjo, J.C., García, P.: Am IVital: digital personal environment for health and well-being. Wireless Mob. Comm. Healthcare 55, 160–167 (2011)CrossRef
34.
35.
36.
Bruno, A., Salvatore, B., La Malfa, S., Marletta, V.: A sensing architecture for mutual user-environment awareness case of study: a mobility aid for the visually impaired. IEEE Sens. J. 11(3), 634–640 (2011)CrossRef
37.
Alcantara, J.A., Lu, L.P., Magno, J.K., Soriano, Z., Ong, E., Resurreccion, R.: Emotional narration of children’s stories. In: Nishizaki, S.-Y., Numao, M., Caro, J., Suarez, M.T. (eds.) Theory and Practice of Computation. PICT, vol. 5, pp. 1–14. Springer, Heidelberg (2012)CrossRef
38.
Alaoui, M., Ting, K.L.H., Lewkowicz, M.: The urge for empirically-informed design of social-oriented aal applications – the example of 2 aal projects. In: 5th International Conference on Software Development and Technologies for Enhancing Accessibility and Fighting Information exclusion DSAI, Troyes, France (2014)
39.
Friedewald, M., Da Costa, O., Punie, Y., Alahuhta, P., Heinonen, S.: Perspectives of ambient intelligence in the home environment. Telematics Inform. 22(3), 221–238 (2005)CrossRef
40.
Cooka, D.J., Augustob, J.C., Jakkulaa, V.R.: Ambient intelligence: Technologies, applications, and opportunities. Pervasive Mob. Comput. 5(4), 277–298 (2009)CrossRef
41.
42.
Friedewald, M., Vildjiounaite, E., Punie, Y., Wright, D.: Privacy, identity and security in ambient intelligence: A scenario analysis. Telematics Inform. 24(1), 15–29 (2007)CrossRef
Metadaten
Titel
Spatial Modeling Factors in Sensor-Based Ambient Assisted Living Technologies Designed for Ageing Populations
verfasst von
Dua’a Al-Hajjar
Reem Al Ehaidib
Sarah Al Muhanna
May Al Sohibani
Areej Al-Wabil
Copyright-Jahr
2015
Buch
Human Aspects of IT for the Aged Population. Design for Everyday Life

Print ISBN: 978-3-319-20912-8

Electronic ISBN: 978-3-319-20913-5

Copyright-Jahr: 2015

DOI
https://doi.org/10.1007/978-3-319-20913-5_34

Neuer Inhalt

    Bildnachweise