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
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Introduction on Wireless Sensor Networks Issues and Challenges in Current Era Kapitel lesen Erstes Kapitel lesen

2020 | OriginalPaper | Buchkapitel

Internet of Things for Enhanced Living Environments, Health and Well-Being: Technologies, Architectures and Systems

verfasst von : Gonçalo Marques, Jagriti Saini, Ivan Miguel Pires, Nuno Miranda, Rui Pitarma

Erschienen in: Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's

Verlag: Springer International Publishing

Einloggen

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

search-config
loading …

Abstract

Internet of Things (IoT) stands as a concept where things are linked to the Internet, incorporate data collection capabilities and cooperation features between them. Ambient Assisted Living (AAL) is closely related to the necessity of pervasive healthcare supervision, and his main aim is to contribute to the independence and well-being of older adults using Information and Communication Technologies. At 2050 20% of the world population will be age 60 or older, which will lead to significant consequences for public health such as an increase of diseases, health care costs, shortage of caregivers, and dependency. IoT and AAL architectures enhancements will contribute to the development of personalized healthcare systems that incorporate real-time monitoring features for environmental quality and people’s health status for enhanced living environments and well-being. Scientific developments turn possible to create novel and innovative instruments to empower real-time healthcare supervising solutions for decision making in the management of several syndromes. This paper provides a review summary of the main technologies, architectures, and systems based on IoT and AAL for enhanced living environments. The design, social, and ethical challenges for the implementation of efficient and effective systems for enhanced living environments and future directions are also 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 Data Mining and Fusion Techniques for Wireless Intelligent Sensor Networks
Nächstes Kapitel Energy Efficient Data Collection in Smart Cities Using IoT
Literatur
1.
Marques, G., Pitarma, R., Garcia, N.M., Pombo, N.: Internet of Things architectures, technologies, applications, challenges, and future directions for enhanced living environments and healthcare systems: a review. Electronics 8(10), 1081 (2019)CrossRef
2.
Koleva, P., Tonchev, K., Balabanov, G., Manolova, A., Poulkov, V.: Challenges in designing and implementation of an effective Ambient Assisted Living system. In: 2015 12th International Conference on Telecommunication in Modern Satellite, Cable and Broadcasting Services (TELSIKS), pp. 305–308 (2015)
3.
Marques, G., Pitarma, R.: IAQ evaluation using an IoT CO2 monitoring system for enhanced living environments. In: Rocha, Á., Adeli, H., Reis, L.P., Costanzo, S. (eds.) Trends and Advances in Information Systems and Technologies, vol. 746, pp. 1169–1177. Springer International Publishing, Cham (2018)CrossRef
4.
Giusto, D. (ed.): The Internet of Things: 20th Tyrrhenian Workshop on Digital Communications. Springer, New York (2010)
5.
Marques, G., Pitarma, R.: Monitoring and control of the indoor environment. In: 2017 12th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6 (2017)
6.
Marques, G., Pitarma, R.: Monitoring energy consumption system to improve energy efficiency. In: Rocha, Á., Correia, A.M., Adeli, H., Reis, L.P., Costanzo, S. (eds.) Recent Advances in Information Systems and Technologies, vol. 570, pp. 3–11. Springer International Publishing, Cham (2017)CrossRef
7.
Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013)CrossRef
8.
Khanna, A., Goyal, R., Verma, M., Joshi, D.: Intelligent traffic management system for smart cities. In: Singh, P.K., Paprzycki, M., Bhargava, B., Chhabra, J.K., Kaushal, N.C., Kumar, Y. (eds.) Futuristic Trends in Network and Communication Technologies, vol. 958, pp. 152–164. Springer Singapore, Singapore (2019)CrossRef
9.
Marques, G.: Ambient assisted living and Internet of Things. In: Cardoso, P.J.S., Monteiro, J., Semião, J., Rodrigues, J.M.F. (eds.) Harnessing the Internet of Everything (IoE) for Accelerated Innovation Opportunities, pp. 100–115. IGI Global, Hershey (2019)CrossRef
10.
Walsh, P.J., Dudney, C.S., Copenhaver, E.D.: Indoor Air Quality. CRC Press, Boca Raton (1983)
11.
Bruce, N., Perez-Padilla, R., Albalak, R.: Indoor air pollution in developing countries: a major environmental and public health challenge. Bull. World Health Organ. 78(9), 1078–1092 (2000)
12.
Seguel, J.M., Merrill, R., Seguel, D., Campagna, A.C.: Indoor air quality. Am. J. Lifestyle Med. 11(4), 284–295 (2017)CrossRef
13.
Butz, A.M.: A randomized trial of air cleaners and a health coach to improve indoor air quality for inner-city children with asthma and secondhand smoke exposure. Arch. Pediatr. Adolesc. Med. 165(8), 741 (2011)CrossRef
14.
De Vito, S., et al.: Cooperative 3D air quality assessment with wireless chemical sensing networks. Procedia Eng. 25, 84–87 (2011)CrossRef
15.
Dimitrievski, A., Zdravevski, E., Lameski, P., Trajkovik, V.: A survey of Ambient Assisted Living systems: challenges and opportunities. In: 2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, pp. 49–53 (2016)
16.
El murabet, A., Anouar, A., Touhafi, A., Tahiri, A.: Towards an SOA architectural model for AAL-Paas design and implementation challenges. Int. J. Adv. Comput. Sci. Appl. 8(7), 52–56 (2017)
17.
El murabet, A., Abtoy, A., Touhafi, A., Tahiri, A.: Ambient Assisted Living system’s models and architectures: a survey of the state of the art. J. King Saud Univ. - Comput. Inf. Sci. 32(1), 1–10 (2020)CrossRef
18.
Choi, D., Choi, H., Shon, D.: Future changes to smart home based on AAL healthcare service. J. Asian Archit. Build. Eng. 18(3), 190–199 (2019)CrossRef
19.
Rashidi, P., Mihailidis, A.: A survey on ambient-assisted living tools for older adults. IEEE J. Biomed. Health Inform. 17(3), 579–590 (2013)CrossRef
20.
Moukas, A., Zacharia, G., Guttman, R., Maes, P.: Agent-mediated electronic commerce: an MIT media laboratory perspective. Int. J. Electron. Commer. 4(3), 5–21 (2000)CrossRef
21.
De Silva, L.C., Morikawa, C., Petra, I.M.: State of the art of smart homes. Adv. Issues Artif. Intell. Pattern Recogn. Intell. Surveill. Syst. Smart Home Environ. 25(7), 1313–1321 (2012)
22.
Wilson, C., Hargreaves, T., Hauxwell-Baldwin, R.: Smart homes and their users: a systematic analysis and key challenges. Pers. Ubiquit. Comput. 19(2), 463–476 (2015)CrossRef
23.
Adib, F., Mao, H., Kabelac, Z., Katabi, D., Miller, R.C.: Smart homes that monitor breathing and heart rate. In: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, Seoul, Republic of Korea, pp. 837–846 (2015)
24.
Pounds-Cornish, A., Holmes, A.: The iDorm - a practical deployment of grid technology. In: 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid, 2002, pp. 470–470 (2002)
25.
Orpwood, R., Gibbs, C., Adlam, T., Faulkner, R., Meegahawatte, D.: The Gloucester smart house for people with dementia—user-interface aspects. In: Keates, S., Clarkson, J., Langdon, P., Robinson, P. (eds.) Designing a More Inclusive World, pp. 237–245. Springer, London (2004)CrossRef
26.
Henkemans, O.B., Caine, K.E., Rogers, W.A., Fisk, A.D.: Medical monitoring for independent living: user-centered design of smart home technologies for older adults. In: Proceedings of Med-e-Tel Conference eHealth, Telemedicine and Health Information and Communication Technologies, pp. 18–20 (2007)
27.
Anjum, A., Ilyas, M.U.: Activity recognition using smartphone sensors. In: Consumer Communications and Networking Conference (CCNC), 2013, pp. 914–919. IEEE (2013)
28.
Shoaib, M., Scholten, H., Havinga, P.J.M.: Towards physical activity recognition using smartphone sensors. In: 2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 10th International Conference on Autonomic and Trusted Computing (UIC/ATC), pp. 80–87 (2013)
29.
Eren, H., Makinist, S., Akin, E., Yilmaz, A.: Estimating driving behavior by a smartphone. In: 2012 IEEE Intelligent Vehicles Symposium (IV), pp. 234–239 (2012)
30.
Faragher, R.M., Sarno, C., Newman, M.: Opportunistic radio SLAM for indoor navigation using smartphone sensors. In: 2012 IEEE/ION Position Location and Navigation Symposium (PLANS), pp. 120–128 (2012)
31.
Lloret, J., Canovas, A., Sendra, S., Parra, L.: A smart communication architecture for ambient assisted living. IEEE Commun. Mag. 53(1), 26–33 (2015)CrossRef
32.
Parra, L., Sendra, S., Jiménez, J., Lloret, J.: Multimedia sensors embedded in smartphones for ambient assisted living and e-health. Multimedia Tools Appl. 75(21), 1–27 (2015)
33.
Bisio, I., Lavagetto, F., Marchese, M., Sciarrone, A.: Smartphone-centric ambient assisted living platform for patients suffering from co-morbidities monitoring. IEEE Commun. Mag. 53(1), 34–41 (2015)CrossRef
34.
Mishra, D., Mishra, A.: Self-optimization in LTE: an approach to reduce call drops in mobile network. In: Singh, P.K., Paprzycki, M., Bhargava, B., Chhabra, J.K., Kaushal, N.C., Kumar, Y. (eds.) Futuristic Trends in Network and Communication Technologies, vol. 958, pp. 382–395. Springer Singapore, Singapore (2019)CrossRef
35.
Leone, A., Rescio, G., Siciliano, P.: A near field communication-based platform for mobile ambient assisted living applications. In: Andò, B., Siciliano, P., Marletta, V., Monteriù, A. (eds.) ambient assisted living, vol. 11, pp. 125–132. Springer, Cham (2015)CrossRef
36.
Yan, K., et al.: Innovation through wearable sensors to collect real-life data among pediatric patients with cardiometabolic risk factors. Int. J. Pediatr. 2014, 9 (2014)CrossRef
37.
Matiko, J.W., Wei, Y., Torah, R., Grabham, N., Paul, G., Beeby, S., Tudor, J.: Wearable EEG headband using printed electrodes and powered by energy harvesting for emotion monitoring in ambient assisted living. Smart Mater. Struct. 24(12), 125028 (2015)CrossRef
38.
Zhu, C., Sheng, W., Liu, M.: Wearable sensor-based behavioral anomaly detection in smart assisted living systems. IEEE Trans. Autom. Sci. Eng. 12(4), 1225–1234 (2015)CrossRef
39.
López, S.A., Corno, F., De Russis, L.: Supporting caregivers in assisted living facilities for persons with disabilities: a user study. Univers. Access Inf. Soc. 14(1), 133–144 (2015)CrossRef
40.
Acampora, G., Cook, D.J., Rashidi, P., Vasilakos, A.V.: A Survey on Ambient Intelligence in Health Care. Proc. IEEE Inst. Electr. Electron. Eng. 101(12), 2470–2494 (2013)CrossRef
41.
Bandodkar, A.J., Wang, J.: Non-invasive wearable electrochemical sensors: a review. Trends Biotechnol. 32(7), 363–371 (2014)CrossRef
42.
Saracchini, R.F.V., Catalina, C.A.: An augmented reality platform for wearable assisted living systems. J. Theor. Appl. Comput. Sci. 9(1), 56–79 (2015)
43.
Páez, D., de Buenaga Rodríguez, M., Sánz, E., Villalba, M., Gil, R.: Big data processing using wearable devices for wellbeing and healthy activities promotion. In: Cleland, I., Guerrero, L., Bravo, J. (eds.) Ambient Assisted Living. ICT-based Solutions in Real Life Situations, vol. 9455, pp. 196–205. Springer, Cham (2015)
44.
Stavropoulos, T.G., Meditskos, G., Andreadis, S., Kompatsiaris, I.: Real-time health monitoring and contextualised alerts using wearables. In: 2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL), pp. 358–363 (2015)
45.
Clifton, L., Clifton, D.A., Pimentel, M.A.F., Watkinson, P.J., Tarassenko, L.: Predictive monitoring of mobile patients by combining clinical observations with data from wearable sensors. IEEE J. Biomed. Health Inform. 18(3), 722–730 (2014)CrossRef
46.
Sano, A., et al.: Recognizing academic performance, sleep quality, stress level, and mental health using personality traits, wearable sensors and mobile phones. In: 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN), pp. 1–6 (2015)
47.
Whitmore, A., Agarwal, A., Da Xu, L.: The Internet of Things—a survey of topics and trends. Inf. Syst. Front. 17(2), 261–274 (2015)CrossRef
48.
Sachdeva, S., Kakkar, A.: Implementation of AES-128 using multiple cipher keys. In: Singh, P.K., Paprzycki, M., Bhargava, B., Chhabra, J.K., Kaushal, N.C., Kumar, Y. (eds.) Futuristic Trends in Network and Communication Technologies, vol. 958, pp. 3–16. Springer Singapore, Singapore (2019)CrossRef
49.
Vora, J., Kaneriya, S., Tanwar, S., Tyagi, S., Kumar, N., Obaidat, M.S.: TILAA: tactile internet-based Ambient Assistant Living in fog environment. Future Gener. Comput. Syst. 98, 635–649 (2019)CrossRef
50.
Budhiraja, I., Tyagi, S., Tanwar, S., Kumar, N., Rodrigues, J.J.P.C.: Tactile Internet for smart communities in 5G: an insight for NOMA-based solutions. IEEE Trans. Ind. Inform. 15(5), 3104–3112 (2019)CrossRef
51.
Hathaliya, J.J., Tanwar, S., Tyagi, S., Kumar, N.: Securing electronics healthcare records in Healthcare 4.0: a biometric-based approach. Comput. Electr. Eng. 76, 398–410 (2019)CrossRef
52.
Kumari, A., Tanwar, S., Tyagi, S., Kumar, N.: Fog computing for Healthcare 4.0 environment: Opportunities and challenges. Comput. Electr. Eng. 72, 1–13 (2018)CrossRef
53.
Kumari, A., Tanwar, S., Tyagi, S., Kumar, N.: Verification and validation techniques for streaming big data analytics in Internet of Things environment. IET Netw. 8(3), 155–163 (2019)CrossRef
54.
Cunha, M., Fuks, H.: AmbLEDs para ambientes de moradia assistidos em cidades inteligentes. In: Proceedings of the 13th Brazilian Symposium on Human Factors in Computing Systems, Foz do Igua & ccedil; u, Brazil, pp. 409–412 (2014)
55.
56.
Suryadevara, N.K., Kelly, S., Mukhopadhyay, S.C.: Ambient Assisted Living environment towards Internet of Things using multifarious sensors integrated with XBee platform. In: Mukhopadhyay, S.C. (ed.) Internet of Things, vol. 9, pp. 217–231. Springer (2014)
57.
Zhu, N., et al.: Bridging e-health and the Internet of Things: the SPHERE project. IEEE Intell. Syst. 30(4), 39–46 (2015)CrossRef
58.
Cubo, J., Nieto, A., Pimentel, E.: A cloud-based Internet of Things platform for Ambient Assisted Living. Sensors 14(8), 14070–14105 (2014)CrossRef
59.
Parada, R., Melia-Segui, J., Morenza-Cinos, M., Carreras, A., Pous, R.: Using RFID to detect interactions in Ambient Assisted Living environments. IEEE Intell. Syst. 30(4), 16–22 (2015)CrossRef
60.
Ray, P.P.: Home Health Hub Internet of Things (H3IoT): an architectural framework for monitoring health of elderly people. In: 2014 International Conference on Science Engineering and Management Research (ICSEMR), pp. 1–3 (2014)
61.
Pitarma, R., Marques, G., Ferreira, B.R.: Monitoring indoor air quality for enhanced occupational health. J. Med. Syst. 41(2), 23 (2017)CrossRef
62.
Marques, G., Pitarma, R.: Health informatics for indoor air quality monitoring. In: 2016 11th Iberian Conference on Information Systems and Technologies (CISTI), pp. 1–6 (2016)
63.
Marques, G., Roque Ferreira, C., Pitarma, R.: A system based on the Internet of Things for real-time particle monitoring in buildings. Int. J. Environ. Res. Public. Health 15(4), 821 (2018)CrossRef
64.
Feria, F., Salcedo Parra, O.J., Reyes Daza, B.S.: Design of an architecture for medical applications in IoT. In: Luo, Y. (ed.) Cooperative Design, Visualization, and Engineering, vol. 9929, pp. 263–270. Springer, Cham (2016)CrossRef
65.
Ray, P.P.: Internet of Things for smart agriculture: Technologies, practices and future direction. J. Ambient Intell. Smart Environ. 9(4), 395–420 (2017)CrossRef
66.
Matz, J.R., Wylie, S., Kriesky, J.: Participatory air monitoring in the midst of uncertainty: residents’ experiences with the speck sensor. Engag. Sci. Technol. Soc. 3, 464 (2017)CrossRef
67.
Demuth, D., Nuest, D., Bröring, A., Pebesma, E.: The airquality sensebox. In: EGU General Assembly Conference Abstracts, vol. 15 (2013)
68.
Marques, G., Pitarma, R.: A cost-effective air quality supervision solution for enhanced living environments through the Internet of Things. Electronics 8(2), 170 (2019)CrossRef
69.
G. Marques, C. R. Ferreira, and R. Pitarma, “Indoor Air Quality Assessment Using a CO2 Monitoring System Based on Internet of Things,” J. Med. Syst., vol. 43, no. 3, Mar. 2019
70.
Marques, G., Pitarma, R.: Monitoring and control of the indoor environment. In: 2017 12th Iberian Conference on Information Systems and Technologies (CISTI), Lisbon, Portugal, pp. 1–6 (2017)
71.
Marques, G., Pitarma, R.: mHealth: indoor environmental quality measuring system for enhanced health and well-being based on Internet of Things. J. Sens. Actuator Netw. 8(3), 43 (2019)CrossRef
72.
Lohani, D., Acharya, D.: Smartvent: a context aware IoT system to measure indoor air quality and ventilation rate. In: 2016 17th IEEE International Conference on Mobile Data Management (MDM), vol. 2, pp. 64–69 (2016)
73.
Mantha, B.R., Feng, C., Menassa, C.C., Kamat, V.R.: Real-time building energy and comfort parameter data collection using mobile indoor robots. In: Proceedings of the International Symposium on Automation and Robotics in Construction Presented at the ISARC, vol. 32, p. 1 (2015)
74.
Srivatsa, P., Pandhare, A.: Indoor air quality: IoT solution. In: National Conference, NCPCI, vol. 2016, p. 19 (2016)
75.
Jin, M., Liu, S., Schiavon, S., Spanos, C.: Automated mobile sensing: towards high-granularity agile indoor environmental quality monitoring. Build. Environ. 127, 268–276 (2018)CrossRef
76.
Salamone, F., Belussi, L., Danza, L., Galanos, T., Ghellere, M., Meroni, I.: Design and development of a nearable wireless system to control indoor air quality and indoor lighting quality. Sensors 17(5), 1021 (2017)CrossRef
77.
Meena, M.J., Prabha, S.S., Pandian, S.: A cloud-based mobile robotic system for environmental monitoring. In: 2014 Asia-Pacific Conference on Computer Aided System Engineering (APCASE), South Kuta, Indonesia, pp. 122–126 (2014)
78.
Bhattacharya, S., Sridevi, S., Pitchiah, R.: Indoor air quality monitoring using wireless sensor network, pp. 422–427 (2012)
79.
Jara, A.J., Zamora, M.A., Skarmeta, A.F.: An Internet of Things—based personal device for diabetes therapy management in ambient assisted living (AAL). Pers. Ubiquit. Comput. 15(4), 431–440 (2011)CrossRef
80.
Luo, J., Chen, Y., Tang, K., Luo, J.: Remote monitoring information system and its applications based on the Internet of Things. In: 2009 International Conference on Future BioMedical Information Engineering, FBIE 2009, pp. 482–485 (2009)
81.
Swan, M.: Sensor mania! The Internet of Things, wearable computing, objective metrics, and the quantified self 2.0. J. Sens. Actuator Netw. 1(3), 217–253 (2012)CrossRef
82.
Atzori, L., Iera, A., Morabito, G.: The Internet of Things: a survey. Comput. Netw. 54(15), 2787–2805 (2010)MATHCrossRef
83.
Rahmani, A.-M., et al.: Smart e-health gateway: bringing intelligence to Internet-of-Things based ubiquitous healthcare systems, pp. 826–834 (2015)
84.
Miorandi, D., Sicari, S., De Pellegrini, F., Chlamtac, I.: Internet of Things: vision, applications and research challenges. Ad Hoc Netw. 10(7), 1497–1516 (2012)CrossRef
85.
Pang, Z., Zheng, L., Tian, J., Kao-Walter, S., Dubrova, E., Chen, Q.: Design of a terminal solution for integration of in-home health care devices and services towards the Internet-of-Things. Enterp. Inf. Syst. 9(1), 86–116 (2015)CrossRef
86.
Lake, D., Milito, R., Morrow, M., Vangheese, R.: Internet of Things: architectural framework for eHealth security. J. ICT 3, 301–330 (2014)
87.
Hassanalieragh, M., et al.: Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: opportunities and challenges, pp. 285–292 (2015)
88.
Dohr, A., Modre-Opsrian, R., Drobics, M., Hayn, D., Schreier, G.: The Internet of Things for Ambient Assisted Living, pp. 804–809 (2010)
89.
Domingo, M.C.: Review: an overview of the Internet of Things for people with disabilities. J. Netw. Comput. Appl. 35(2), 584–596 (2012)CrossRef
90.
Geman, O., et al.: Challenges and trends in Ambient Assisted Living and intelligent tools for disabled and elderly people. In: 2015 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), pp. 1–5 (2015)
91.
Muñoz, D., Gutierrez, F.J., Ochoa, S.F.: Introducing Ambient Assisted Living technology at the home of the elderly: challenges and lessons learned. In: Cleland, I., Guerrero, L., Bravo, J. (eds.) Ambient Assisted Living. ICT-based Solutions in Real Life Situations, vol. 9455, pp. 125–136. Springer, Cham (2015)
92.
Li, R., Lu, B., McDonald-Maier, K.D.: Cognitive Assisted Living Ambient system: a survey. Digit. Commun. Netw. 1(4), 229–252 (2015)CrossRef
93.
Grguric, A., Gil, A.M.M., Huljenic, D., Car, Z., Podobnik, V.: A survey on user interaction mechanisms for enhanced living environments. In: Loshkovska, S., Koceski, S. (eds.) ICT Innovations 2015, vol. 399, pp. 131–141. Springer, Cham (2016)CrossRef
94.
Monekosso, D.N., Florez-Revuelta, F., Remagnino, P.: Guest editorial special issue on ambient-assisted living: sensors, methods, and applications. IEEE Trans. Hum.-Mach. Syst. 45(5), 545–549 (2015)CrossRef
95.
Felzmann, H., Murphy, K., Casey, D., Beyan, O.: Robot-assisted care for elderly with dementia: is there a potential for genuine end-user empowerment?. In: The Emerging Policy and Ethics of Human Robot Interaction (2015)
Metadaten
Titel
Internet of Things for Enhanced Living Environments, Health and Well-Being: Technologies, Architectures and Systems
verfasst von
Gonçalo Marques
Jagriti Saini
Ivan Miguel Pires
Nuno Miranda
Rui Pitarma
Copyright-Jahr
2020
Buch
Handbook of Wireless Sensor Networks: Issues and Challenges in Current Scenario's

Print ISBN: 978-3-030-40304-1

Electronic ISBN: 978-3-030-40305-8

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-40305-8_29

Neuer Inhalt

    Bildnachweise