Robot Assistant in Management of Diabetes in Children Based on the Internet of Things

Al-Taee, Majid A.; Al-Nuaimy, Waleed; Muhsin, Zahra J.; Al-Ataby, Ali

doi:10.1109/jiot.2016.2623767

Cited by 58 publications

(35 citation statements)

References 18 publications

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“…The developed testbed prototype is still open for further improvements and applications in various fields including self-management of chronic diseases and delivery of healthcare services over a distance using e/m-health platforms (Al-Taee et al, 2015, 2016a, 2016b.…”

Section: Resultsmentioning

confidence: 99%

A testbed for experimental evaluation of efficient multimedia delivery over lossy networks

Al-Taee¹,

Ala'²,

Khalifeh³

et al. 2017

IJDSSS

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Abstract:Multimedia transmission over lossy networks has been rapidly increasing, especially with the advent of different high-speed and cost-effective Internet technologies. Despite these technology advances, however, the quality of video streaming over lossy networks is still a major challenge towards obtaining the best quality of service. In this paper, a new experimental testbed that is based on the real-time media flow protocol (RTMFP) is proposed to enable researchers to investigate and optimise the effect of changing multiple key parameters relevant to the video-streaming quality. The impact of these parameters, which include video resolution, frames per second, and compression rate on the video quality are investigated with various settings of network packet loss. The obtained results and relationships between these parameters have led to development of a new algorithm that is capable of changing the parameters under study, in real time, according to the estimated packet loss towards maximum obtainable quality. Design details and experimental setup of the proposed testbed are presented along with key practical considerations and experimental evaluation results.

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Section: Resultsmentioning

confidence: 99%

A testbed for experimental evaluation of efficient multimedia delivery over lossy networks

Al-Taee¹,

Ala'²,

Khalifeh³

et al. 2017

IJDSSS

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“…SH3 -Therapy monitoring 1 Olivia, 10 years old, was recently diagnosed with diabetes and she still needs to learn how to properly manage her glucose level by injecting an appropriate amount of insulin. Olivia's connected glucose sensor readings indicate a decreasing trend in her blood sugar level [10]. As the robot knows that Olivia is coming back from her tennis class, it infers that this may be due to physical activity.…”

Section: Versatile Helper In a Smart Homementioning

confidence: 99%

Semantics-based platform for context-aware and personalized robot interaction in the internet of robotic things

Mahieu

Ongenae

Backere

et al. 2019

Journal of Systems and Software

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Robots are moving from well-controlled lab environments to the real world, where an increasing number of environments has been transformed into smart sensorized IoT spaces. Users will expect these robots to adapt to their preferences and needs, and even more so for social robots that engage in personal interactions. In this paper, we present declarative ontological models and a middleware platform for building services that generate interaction tasks for social robots in smart IoT environments. The platform implements a modular, data-driven workflow that allows developers of interaction services to determine the appropriate time, content and style of human-robot interaction tasks by reasoning on semantically enriched IoT sensor data. The platform also abstracts the complexities of scheduling, planning and execution of these tasks, and can automatically adjust parameters to the personal profile and current context. We present motivational scenarios in three environments: a smart home, a smart office and a smart nursing home, detail the interfaces and executional paths in our platform and present a proof-of-concept implementation.

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“…Chan et al 72 communicate hugs and manipulations between persons via sensorized robots. Al-Taee et al 73 use robots to improve the tele-monitoring of diabetes patients by reading out the glucose sensor and vocalizing the feedback from the carer (see Figure 6). Finally, in the GiraffPlus project ?…”

Section: Interaction Abilitymentioning

confidence: 99%

The Internet of Robotic Things

Simoens

Dragone

Saffiotti

2018

International Journal of Advanced Robotic Systems

167

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The Internet of Robotic Things is an emerging vision that brings together pervasive sensors and objects with robotic and autonomous systems. This survey examines how the merger of robotic and Internet of Things technologies will advance the abilities of both the current Internet of Things and the current robotic systems, thus enabling the creation of new, potentially disruptive services. We discuss some of the new technological challenges created by this merger and conclude that a truly holistic view is needed but currently lacking.

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Robot Assistant in Management of Diabetes in Children Based on the Internet of Things

Cited by 58 publications

References 18 publications

A testbed for experimental evaluation of efficient multimedia delivery over lossy networks

A testbed for experimental evaluation of efficient multimedia delivery over lossy networks

Semantics-based platform for context-aware and personalized robot interaction in the internet of robotic things

The Internet of Robotic Things

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