Smart and secure IOT based child behaviour and health monitoring system using hadoop

Binu, P K; Akhil, V.; Mohan, Vinay

doi:10.1109/icacci.2017.8125876

Cited by 21 publications

(3 citation statements)

References 11 publications

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“…Table 5 gives an overview of the latest models. To enhance the health and behavioral monitoring system, a new method was proposed in [85]. Gaming data and body parameters were used to analyze the health of child.…”

Section: Sensors Used In Infant Healthcare Systemsmentioning

confidence: 99%

“…In addition, diseases related to psychological disorders in pregnancy using AI techniques should be investigated [96]. Similarly, to monitor the behavioral changes in children, more mind-related games can be considered [85]. The literature highlights psychological and behavioral issues to be considered along with medical diseases.…”

Section: Application Of State-of-the-art Techniques Ml/ai In Maternal...mentioning

confidence: 99%

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Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review

Ahmad

Iqbal

Javaid

et al. 2022

Sensors

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Currently, information and communication technology (ICT) allows health institutions to reach disadvantaged groups in rural areas using sensing and artificial intelligence (AI) technologies. Applications of these technologies are even more essential for maternal and infant health, since maternal and infant health is vital for a healthy society. Over the last few years, researchers have delved into sensing and artificially intelligent healthcare systems for maternal and infant health. Sensors are exploited to gauge health parameters, and machine learning techniques are investigated to predict the health conditions of patients to assist medical practitioners. Since these healthcare systems deal with large amounts of data, significant development is also noted in the computing platforms. The relevant literature reports the potential impact of ICT-enabled systems for improving maternal and infant health. This article reviews wearable sensors and AI algorithms based on existing systems designed to predict the risk factors during and after pregnancy for both mothers and infants. This review covers sensors and AI algorithms used in these systems and analyzes each approach with its features, outcomes, and novel aspects in chronological order. It also includes discussion on datasets used and extends challenges as well as future work directions for researchers.

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Section: Sensors Used In Infant Healthcare Systemsmentioning

confidence: 99%

Section: Application Of State-of-the-art Techniques Ml/ai In Maternal...mentioning

confidence: 99%

Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review

Ahmad

Iqbal

Javaid

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…It lacks recommendation or suggestion feature based on a child"s current health state. In [21], a smart system was designed by the researchers with the help of IoT and MapReduce framework of Hadoop to detect anxiety disorders, disruptive behavior disorders and Attention-deficit/hyperactivity disorder (ADHD). MapReduce framework has two classes; a. Mapper and b. Reducer.…”

Section: Interactive Systemsmentioning

confidence: 99%

A Study on Internet of Things in Women and Children Healthcare

Nigar¹

2019

IJMLNCE

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ndividual entities are being connected every day with the advancement of Internet of Things (IoT). IoT contains various application domains and healthcare is one of them indeed. It is receiving a lot of attention recently because of its seamless integration with electronic health (eHealth) and telemedicine. IoT has the capability of collecting patient data incessantly which surely helps in preventive care. Doctors can diagnose their patients early to avoid complications and they can suggest further modifications if needed. As the whole process is automated, risk of errors is reduced. Administrative paperwork and data entry tasks will be automated due to tracking and connectivity. As a result, healthcare providers can engage themselves more in patient care. In traditional healthcare services, an individual used to have access to minimal insights into his own health. Hence, they were less conscious about themselves and depended wholly on the healthcare facilities for unfortunate events. But they can track their vitals, activities and fitness with the aid of connected devices now. Furthermore, they can suggest their preferred user interfaces. This paper describes several methods, practices and prototypes regarding IoT in the field of healthcare for women and children.

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Healthcare Monitoring System Based on IoT Using AMQP Protocol

Krishna

Sasikala

2018

Lecture Notes on Data Engineering and Communications Technologies

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Smart and secure IOT based child behaviour and health monitoring system using hadoop

Cited by 21 publications

References 11 publications

Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review

Sensing and Artificial Intelligent Maternal-Infant Health Care Systems: A Review

A Study on Internet of Things in Women and Children Healthcare

Healthcare Monitoring System Based on IoT Using AMQP Protocol

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