Advanced and effective baby care monitoring Smart cradle system using Internet of Things

Durga, S.; Itnal, Shilpa; Soujanya, K.; Basha, Cmak Zeelan; Saxena, C.L.

doi:10.1109/icosec51865.2021.9591955

Cited by 11 publications

(4 citation statements)

References 14 publications

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“…The system proposed employed the GSM module to send the cry emotions values to the parent's mobile. Some authors [12,13] and [37] incorporates different cloud platform to design a smart monitoring system. In addition, many researchers focus on the use of machine learning and deep learning in the context of the smart monitoring system [12,38].…”

Section: Related Workmentioning

confidence: 99%

“…Some authors [12,13] and [37] incorporates different cloud platform to design a smart monitoring system. In addition, many researchers focus on the use of machine learning and deep learning in the context of the smart monitoring system [12,38]. From the literature, we concluded that many research studies have been carried out that focus on designing a smart baby monitoring system.…”

Section: Related Workmentioning

confidence: 99%

“…Many research works have been done but they mainly focus on adding sensors to the existing designs [8][9][10] and [11][12][13]. However, there is a lot of room for enhancement in those proposed studies.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

IoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning

Alam

Burhan

Gillani

et al. 2023

Wireless Communications and Mobile Computing

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Child care is necessary for parents, but nowadays taking care of a child has become a lot more challenging, especially for working mothers. It has become increasingly difficult for parents to continuously monitor their baby’s condition. Thus, a smart baby monitoring system based on IoT and machine learning is implemented to overcome the monitoring issues and provide intimation to parents in real-time. In the proposed system, the necessary monitoring features like room temperature and humidity, cry detection, and face detection were monitored by exploiting different sensors. The sensor data is transferred to the Blynk server via controllers with an Internet connection. The system is also capable of detecting the facial emotions of the registered babies by using a machine learning model. Parents can monitor the live activities and emotions of their child through the external web camera and can swing the baby cradle remotely upon cry detection using their mobile application. They can also check the real-time room temperature and humidity level. In case an abnormal action is detected, a notification is sent to the parent’s mobile application to take action thus, making the baby monitoring system a relief for all working parents to manage their time efficiently while taking care of their babies simultaneously.

show abstract

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

IoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning

Alam

Burhan

Gillani

et al. 2023

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Several studies and research papers have been published, exploring various aspects of smart cradles and their applications. This study proposed a smart cradle system that integrates IoT technologies for infant monitoring [7]. The system utilized sensors to monitor the baby's vital signs, including temperature, heart rate, and respiration, and transmitted the data to a cloud-based server for analysis [8].…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Cradle: A Technology-Enabled Solution for Safer and Better Infant Sleep

Thopate,

Gawade,

Savale

et al. 2023

IJRITCC

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The Smart Cradle using Internet of Things (IoT) is a novel and innovative approach to modernize traditional cradle systems by incorporating smart and connected technologies. This IoT-based cradle system offers enhanced safety, comfort, and convenience for both babies and caregivers. The Smart Cradle is equipped with various sensors such as temperature, humidity, motion, and sound sensors that continuously monitor the baby's environment. These sensors collect data in real-time and send it to a cloud-based server for processing and analysis. The caregivers can access this data through a mobile application or a web interface, allowing them to remotely monitor the baby's condition and receive alerts in case of any abnormalities. Furthermore, the Smart Cradle incorporates features like automated rocking, adjustable incline, and soothing lullabies, which can be controlled remotely through the mobile application. The caregivers can customize the cradle's settings based on the baby's preferences and needs, providing a personalized sleeping experience for the baby. Additionally, the Smart Cradle offers seamless integration with other smart home devices, such as smart cameras, smart lights, and smart thermostats, enabling caregivers to create a safe and conducive environment for the baby. The system can also generate insights and recommendations based on the collected data, helping caregivers to make informed decisions about the baby's sleep patterns, health, and well- being.

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Enhancing Infant Safety: Performance Analysis of Deep Learning Method on Development Board for Real-Time Monitoring

Prasetyo,

Rahmawati,

Priharti

et al. 2024

Lecture Notes in Electrical Engineering

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Advanced and effective baby care monitoring Smart cradle system using Internet of Things

Cited by 11 publications

References 14 publications

IoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning

IoT Based Smart Baby Monitoring System with Emotion Recognition Using Machine Learning

Smart Cradle: A Technology-Enabled Solution for Safer and Better Infant Sleep

Enhancing Infant Safety: Performance Analysis of Deep Learning Method on Development Board for Real-Time Monitoring

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