A study on m-health inline with the sensors applying for a real time environment

Andrews, Leo John Baptist; Raja, Linesh

doi:10.1080/09720510.2017.1395186

Cited by 21 publications

(2 citation statements)

References 3 publications

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“…One way to overcome this problem is by using assistive technologies and finding ways how to benefit from the use of technology of intelligent systems to help these children. An assistive smart environment has the effort to improve the quality of life for large populations of users: elderly, individuals with physical impairments, and individuals with cognitive disabilities and developmental and social disorders [ 20 , 21 ].…”

Section: Introductionmentioning

confidence: 99%

An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders

Hameed¹,

Hassaballah

Hosney³

et al. 2022

Computational Intelligence and Neuroscience

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Smart monitoring and assisted living systems for cognitive health assessment play a central role in assessment of individuals’ health conditions. Autistic children suffer from some difficulties including social skills, repetitive behaviors, speech and nonverbal communication, and accommodating to the environment around them. Thus, dealing with autistic children is a serious public health problem as it is hard to determine what they feel with a lack of emotional cognitive ability. Currently, no medical treatments have been shown to cure autistic children, with most of the social assistive research to date focusing on Autism Spectrum Disorder (ASD) without suggesting a real treatment. In this paper, we focus on improving cognitive ability and daily living skills and maximizing the ability of the autistic child to function and participate positively in the community. Through utilizing intelligent systems based Artificial Intelligence (AI) and Internet of Things (IoT) technologies, we facilitate the process of adaptation to the world around the autistic children. To this end, we propose an AI-enabled IoT system embodied in a sensor for measuring the heart rate to predict the state of the child and then sending the state to the guardian with feeling and expected behavior of the child via a mobile application. Further, the system can provide a new virtual environment to help the child to be capable of improving eye contact with other people. This way is represented in pictures of these persons in 3D models that break this child’s fear barrier. The system follows strategies that have focused on social communication skill development particularly at young ages to be more interactive with others.

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Section: Introductionmentioning

confidence: 99%

An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders

Hameed¹,

Hassaballah

Hosney³

et al. 2022

Computational Intelligence and Neuroscience

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“…Human saviours will arrange the saving method to discover the victims, and help them as fast as possible [11]. They do not have sufficient time to find the victims in any disaster circumstances; or else the possibility of discovering the victims nonetheless alive is almost zero [12]. In such a quintessential circumstances, technological know-how can be utilized to aid saviours in exclusive tasks [14].…”

Section: Introductionmentioning

confidence: 99%

Automated Monitoring System for Heart Patients using Ambubot

M*,

et al. 2019

IJRTE

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Robotic systems are one of the key options for presenting clever services. Time is a fundamental problem when dealing with human beings who face a sudden cardiac arrest that regrettably may want to die due to inaccessibility of the emergency treatment. Therefore, an on the spot treatment the usage of Automated External Defibrillator (AED) should be administered to the victim inside a few minutes after collapsing. Hence we have designed and developed the Ambulance Robot, shortened as AMBUBOT, which brings along an AED in a surprising tournament of cardiac arrest and helps various modes of operation .The prototype with biomedical sensors are utilized for monitoring the affected person health continuously, the region of the patient can also be tracked in case of emergency by using GSM.

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