Analysis on IoT Based Smart Cradle System with an Android Application for Baby Monitoring

Kavitha, S.; Neela, R R; Sowndarya, M; Madhuchandra,; Harshitha, K

doi:10.1109/icatiece45860.2019.9063773

Cited by 13 publications

(4 citation statements)

References 2 publications

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“…Both the standard crib and the electric crib are linked to each other. Controlling the rocking is accomplished with the use of an electrical gadget [18]. When the microphone detects the baby's cries, it automatically starts rocking the infant for a certain length of time, which is controlled by the timer on the device.…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Internet of Things‐Based Patient Cradle System with an Android App for Baby Monitoring with Machine Learning

Kumar¹,

Pullagura

Kumari³

et al. 2022

Wireless Communications and Mobile Computing

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It is becoming more popular because of the widespread availability of high-speed Internet and the widespread use of mobile phones, both of which are contributing to its rise in popularity. One such significant issue is the use of mobile phones by working parents to keep an eye on the behaviour of their children while they are babysitting for others, which is a significant concern. This study introduces the notion of a smart cradle, which enables for this kind of video monitoring to be carried out on an infant. An infant’s scream triggers the automated swinging of this cradle, which begins when the sensor detects it. In addition, if the baby’s cry persists for an extended period of time, the gadget triggers a buzzer and sends a text message to the phone, signalling that the cradle is no longer capable of handling the infant and that the baby needs human assistance if the cradle’s mattress is wet. This cradle is equipped with an automatic spinning toy for the baby’s entertainment, which reduces the likelihood of a newborn crying throughout the day. A notable rise in the number of working mothers has been seen in recent years. Consequently, the vast majority of parents place their children in the care of their grandparents or in the care of child-minding companies. In addition, we developed a new algorithm for our system, which is critical in delivering better newborn care when parents are not there to assist. Due to the fact that parents are unable to continuously monitor their children’s condition in ordinary or atypical situations while they are at work, this is the case. Node is the fundamental building unit of a microcontroller. Over the course of a single day, the controller board will collect data from the sensors and transmit it to the Adafruit MQTT server over Wi-Fi to be processed. In addition to monitoring the baby’s vital signs, sensors are also used to detect environmental conditions such as the temperature, humidity, and amount of crying in the surroundings. Using the NX Siemens software, a prototype for the cradle was created. Red meranti wood was utilized in its construction. Whenever the baby begins to scream, the system design automatically swings the infant cradle, which is powered by a motor that is built into the system. In addition, parents may use an external web camera to keep checks on the health of their children when they are away from home. Every aspect of this network has been tested to guarantee that it functions effectively and safely at all times.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Internet of Things‐Based Patient Cradle System with an Android App for Baby Monitoring with Machine Learning

Kumar¹,

Pullagura

Kumari³

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

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“…It focuses on designing a monitoring system that includes an incubator equipped with the required sensors to measure the pulse rate and humidity. A survey of various sensors and actuators has been conducted to implement an intelligent cradle alerting to prevent unsanitary situations from becoming signifcant issues for the newborn [26]. Pratap et al [27] developed an IoT-based smart cradle that monitors hygienic conditions to ensure babies' well-being.…”

Section: Single Scenariomentioning

confidence: 99%

Systematic Review of Sleep Monitoring Systems for Babies: Research Issues, Current Status, and Future Challenges

Khan,

Al-Hamid,

Chong

et al. 2024

Health & Social Care in the Community

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Recently, baby healthcare monitoring systems have emerged as a key research area. However, numerous research studies have been conducted on babies and their state of either awakening or sleeping. But there is a lack of comprehensive and systematic review in this area of research. The existing research considers mostly the children’s monitoring vital health parameters, in turn, giving relaxation to the parents in caring of their babies. Still, the fundamental practical issues related to daily life are missing. As a result, the safety of babies against suffocation and falling hazards for employed parents or mothers involved in the workforce has been overlooked. Only a few studies exist that cover the age range of 0 months to 4 years, with further focus on the age range of 6 months to 4 years. In response to these gaps in previous research and existing technologies, this review work proposes a vision for a baby safety system that utilizes various sensors and technologies like machine learning and image processing to ensure a safer environment for babies.

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“…Most of these studies conducted are usually based on the use of sensors to collect different information about the child using the previous techniques. In [25], additional methane sensor is used for detecting methane content, and it sends a live image of the baby along with various parameters information to the android application. The system developed in [26] incorporates IoT sensors for measuring vital parameters like moisture, temperature, and pulse rate.…”

Section: Related Workmentioning

confidence: 99%

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.

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Analysis on IoT Based Smart Cradle System with an Android Application for Baby Monitoring

Cited by 13 publications

References 2 publications

[Retracted] Internet of Things‐Based Patient Cradle System with an Android App for Baby Monitoring with Machine Learning

[Retracted] Internet of Things‐Based Patient Cradle System with an Android App for Baby Monitoring with Machine Learning

Systematic Review of Sleep Monitoring Systems for Babies: Research Issues, Current Status, and Future Challenges

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

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