Human Safety Devices Using IoT and Machine Learning: A Review

Sharma, Kritika; Londhe, Deepali D.

doi:10.1109/i2ct.2018.8529351

Cited by 7 publications

(2 citation statements)

References 14 publications

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“…Also, track the health issues of women in emergency situations. The work given in [11] presents a review on the machine learning based human safety system. This paper describes the review of human safety devices in real world environment using sensor technology, IoT, and machine learning approach to solve the emergency situation problems of humans.…”

Section: Related Workmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Bhajantri¹,

Kagalkar

Ranjolekar

2021

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The Internet of Things has a set of smart objects with smart connectivity that assists in monitoring real world environment during emergency situations. It could monitor the various applications of emergency situations such as road accidents, criminal acts including physical assaults, kidnap cases, and other threats to people's way of life. In this work, the proposed work is to afford real time services to users in emergency situations through Convolutional Neural Networks in terms of efficiency and reliable services. Finally, the proposed work has simulated with respect to the performance parameters of the proposed scheme like the probability of accuracy and processing time.

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Section: Related Workmentioning

confidence: 99%

International Journal of Electronics and Telecommunications

Bhajantri¹,

Kagalkar

Ranjolekar

2021

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“…Various types of Human Safety Devices (HSD) are being developed and applied in numerous fields of application. (Sharma and Londhe, 2018) An essential functions of these devices are anomaly detection in critical systems, assistance in medical technology, driverless vehicles, smart PPE (personal protective equipment) that assesses and prevents danger for work-related incidents and injuries, by using variety of sensors and detection methods, so alerts and data can be sent to safety personnel and managers to get full visibility with advanced remote viewing capabilities. Guidance and evacuation in emergency situations.…”

Section: Human Safetymentioning

confidence: 99%

A Review on Indoor Localization With Internet of Things

Chaimaa

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The advancement of Internet of things (IoT) has revolutionized the field of telecommunication opening the door for interesting applications such as smart cities, resources management, logistics and transportation, wearables and connected healthcare. The emergence of IoT in multiple sectors has enabled the requirement for an accurate real time location information. Location-based services are actually, due to development of networks, sensors, wireless communications and machine learning algorithms, able to collect and transmit data in order to determine the target positions, and support the needs imposed by several applications and use cases. The performance of an indoor positioning system in IoT networks depends on the technical implementation, network architecture, the deployed technology, techniques and algorithms of positioning. This paper highlights the importance of indoor localization in internet of things applications, gives a comprehensive review of indoor positioning techniques and methods implemented in IoT networks, and provides a detailed analysis on recent advances in this field.

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Internet of Things based Smart Ring System for Providing Human Safety Services during Emergency Situations

Kagalkar

Bhajantri

2021

Computer Networks and Inventive Communication Technologies

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Human Safety Devices Using IoT and Machine Learning: A Review

Cited by 7 publications

References 14 publications

International Journal of Electronics and Telecommunications

International Journal of Electronics and Telecommunications

A Review on Indoor Localization With Internet of Things

Internet of Things based Smart Ring System for Providing Human Safety Services during Emergency Situations

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