An overview of the Internet of Things for people with disabilities
By Mari Carmen Domingo. Journal of Network and Computer Applications, 2012
625 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Computer Networks and Communications, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/6b19840c204783f288dfd6d8cfc9f56d1ee51551
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Kerry Dobransky
- Ala Al-Fuqaha
- Zuochao Dou
- Ayman Atia
- Li D. Xu
- Mohsen Guizani
- Athanasios V. Vasilakos
- Abdallah Khreishah
In Computer Networks and Communications
- Mohsen Guizani
- Ala Al-Fuqaha
- Sanmeet Kaur
- Abhishek Khanna
- Li D. Xu
- Lida Xu
- A. Whitmore
- Anurag Agarwal
In Human-Computer Interaction
- Kerry Dobransky
- Ala Al-Fuqaha
- Zuochao Dou
- Li D. Xu
- Mohsen Guizani
- Abdallah Khreishah
- Amir-Mohammad Rahmani
- Eszter Hargittai
Citations in the corpus
- Brain computer interfacing: Applications and challenges (2015, background): “They are also expected to witness cooperation between Internet Of Things (IOT) and BCI technologies as stated in [57].”
- Smart e-Health Gateway: Bringing intelligence to Internet-of-Things based ubiquitous healthcare systems (2015, background): “The IoT’s connectivity provide a way to monitor, store and utilize health and wellbeing related data on a 24/7 basis [3] and enable the IoT related data and services to be ubiquitous and customized for personal needs [5], [4].”
- The Future of Healthcare Internet of Things: A Survey of Emerging Technologies (2020, background): “Multiple works have been identified in [113] that outline the use of BCI and ML mechanisms for application in the BCI field for operating prosthetics.”
- Leveraging Fog Computing for Healthcare IoT (2018, background): “In professional medical environments also, the quality of healthcare services can be enhanced by automating patient monitoring [5, 6, 7].”
- Demystifying IoT Security: An Exhaustive Survey on IoT Vulnerabilities and a First Empirical Look on Internet-Scale IoT Exploitations (2019, background): “People-centric IoT solutions, for instance, significantly enhance daily routines of elderly and disabled people, thus increasing their autonomy and self-confidence [1].”
- Internet of Things (IoT), Applications and Challenges: A Comprehensive Review (2020, background): “Various application scenarios have been proposed in the study to depict the communication of various devices among associated components via IoT [116].”
- Internet of Things (IoT) Cybersecurity Research: A Review of Current Research Topics (2019, background): “For instance, for the three-layered architecture, most studies [14]–[18] have the same architecture as”
- Data Mining for Internet of Things: A Survey (2014, background): “presented recently each of which view the IoT from a different perspective: challenges [4], applications [7], standards [8], and”
- Internet of Things for Enterprise Systems of Modern Manufacturing (2014, background): “Domingo [25] provided an overview of IoT in assisting peoples with disabilities.”
- Unrealized potential: Exploring the digital disability divide (2016, background): “The “Internet of Things” may provide PWD an easier way to manage many common household features (Domingo, 2012).”
- The Internet of Things—A survey of topics and trends (2014, background): “…Li et al. 2011; Liu et al. 2011; Schaffers et al. 2011; Vicini et al. 2012; Fang et al. 2013) Healthcare (Bui and Zorzi 2011; Dohr et al. 2010; Domingo 2012; Jara et al. 2010a, b; Luo et al. 2009; Rohokale et al. 2011) Supply chains/logistics (Flügel and Gehrmann 2009; Shen and Liu 2010; Yan…”
- Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach (2018, background): “By applying IoT technologies to healthcare, the quality and cost of medical care can be improved by automating tasks previously performed by humans [5, 6, 7].”
- Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges (2018, positive): “wer and 43 Fig. 38: Control and Data Planes in SDN Platform. lossy network (RPL) [324], this protocol can utilize different low power communication technologies, such as low power WiFi, IEEE 802.15.4 [346], which is a standard for low-power and low rate wireless communications and can be used for UA”