Perspectives of Heat Stroke Shield: An IoT based Solution for the Detection and Preliminary Treatment of Heat Stroke

Javed, Sumaira; Ghazala, S.; Faseeha, Ummay

doi:10.48084/etasr.3274

Cited by 9 publications

(4 citation statements)

References 25 publications

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“…This can be used to infer that skin temperature is a useful attribute for evaluating heat-related illness too. [41] has presented a wristband IoT device to detect heat stroke. The research includes Arduino Nano as the microcontroller and sensors such as body temperature (MLX90614), blood oxygen level sensor (Sp02) and environmental temperature and humidity (SHT75) to collect the data.…”

Section: Related Workmentioning

confidence: 99%

Heat stroke prediction: a perspective from the internet of things and machine learning approach

Ke Yin,

Yogarayan,

Abdul Razak

et al. 2024

IJECE

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With the increasing occurrence of heat-related illnesses due to rising temperatures worldwide, there is a need for effective detection and prediction systems to mitigate the risks. Heat stroke, a life-threatening condition occurs when the body’s temperature exceeds 104 degrees Fahrenheit (40 degrees Celsius). It can happen due to prolonged exposure to temperatures. When the body struggles to cool itself down adequately. The internet of things (IoT) and machine learning (ML) are two advancing technologies that have the potential to revolutionize industries and enhance our lives in numerous ways. Currently, monitoring devices are primarily used to diagnose when individuals suffering from heatstroke are at the location. This paper delves into the exploration of utilizing the IoT and ML algorithms to predict heat strokes. It reviews existing studies in this field, focusing on how IoT has been deployed and the application of machine learning techniques. The research aims to define the integration of IoT devices and ML algorithms that has a great potential to detect and predict heat-related illnesses such as heat stroke at an early stage.

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Section: Related Workmentioning

confidence: 99%

Heat stroke prediction: a perspective from the internet of things and machine learning approach

Ke Yin,

Yogarayan,

Abdul Razak

et al. 2024

IJECE

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“…These studies show that there is room for further improvement in the QoS of IoT. As IoT applications are vital in different parts of life, such as health monitoring [13,14] or intrusion detection [15], there is still a need to improve existing algorithms and improve the throughput, latency, packet loss, and performance of the IoT server by reducing the number of packets.…”

Section: Related Workmentioning

confidence: 99%

An Enhanced Software Framework for Improving QoS in IoT

Tomer

Gandhi²

2022

Eng. Technol. Appl. Sci. Res.

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Internet of Things (IoT) and Artificial Intelligence (AI) with its subcomponents are the latest emerging technologies that make our daily lives easier. Quality of Service (QoS) plays a very important role in IoT due to the large number of interconnected nodes. QoS is inversely dependent on the node count, i.e. the increment of nodes causes hampering to QoS, as increasing the number of nodes increases the number of requests to the IoT server. An enhanced framework is strongly needed to control QoS in IoT applications. This study proposes and implements an enhanced framework using Matlab, to control the number of requests. The proposed model can improve QoS parameters like throughput, latency, and packet loss by reducing the number of requests generated by the end nodes without compromising the services to the end user. The results showed that QoS parameters improved in terms of throughput by 5-10%, packet loss by up to 6%, and packet latency by 4%. This model can also be tested in hardware and may provide a better QoS solution.

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“…In response to this pressing issue, this paper presents a comprehensive study on enhancing child safety by designing and developing an IoT-based Vehicular Heatstroke Sensor Device (VHSD). By leveraging the capabilities of IoT technology, the VHSD integrates advanced sensors, real-time monitoring, and cloud connectivity to provide an effective solution for detecting and addressing the dangers of vehicular heatstroke incidents [4,5]. Research findings indicate that approximately 10% of child deaths are attributed to heatstroke caused by parental or caretaker negligence [6].…”

Section: Introductionmentioning

confidence: 99%

Interior Temperature Dynamics and Its Implications for Heatstroke Risk: Designing an IoT-Based Vehicular Heatstroke Sensor Device

Mizah Ramli,

Nur Hazwani Mokhtar,

Nur Fatihah Azmi

et al. 2024

ARFMTS

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Vehicular heatstroke incidents involving children represent a critical issue with potentially severe consequences. To address this problem, this research presents an IoT-based Child Safety System (CSS) designed to prevent and mitigate heatstroke incidents in vehicles. This article focuses on the development and evaluation of the system, taking a user-centric approach to ensure its effectiveness and user acceptance. The study begins with a comprehensive survey conducted to gather user requirements and preferences regarding CSSs. The survey data provides valuable insights into the design and functionality expectations of potential system users, enabling the development of a solution that aligns with their needs. Subsequently, an experiment is conducted to evaluate the performance of the proposed IoT-based CSS. The experiment involves the installation of temperature sensors in a fleet of vehicles, with data collected to monitor and analyze the temperature variations inside the vehicles during different conditions. Consequently, the acquired temperature data assesses the system’s ability to detect potentially dangerous situations and provide timely alerts to caregivers. Preliminary results indicate a positive response from the survey participants, with a high level of interest in and willingness to adopt the IoT-based CSS. Moreover, the temperature data collected during the experiment demonstrates the system’s capability to effectively monitor the in-vehicle temperature and promptly notify caregivers when potentially hazardous conditions arise. This article presents a preliminary investigation, laying the foundation for further research and development in the field of CSSs. Future studies could focus on refining the system’s design, incorporating additional features to enhance its functionality, and conducting larger-scale trials to evaluate its effectiveness in real-world scenarios. Overall, this research contributes to the ongoing efforts to combat vehicular heatstroke incidents involving children. By emphasizing a user-centric approach and leveraging IoT technology, the proposed CSS shows promising potential in preventing tragic incidents and safeguarding the well-being of children in vehicles.

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Perspectives of Heat Stroke Shield: An IoT based Solution for the Detection and Preliminary Treatment of Heat Stroke

Cited by 9 publications

References 25 publications

Heat stroke prediction: a perspective from the internet of things and machine learning approach

Heat stroke prediction: a perspective from the internet of things and machine learning approach

An Enhanced Software Framework for Improving QoS in IoT

Interior Temperature Dynamics and Its Implications for Heatstroke Risk: Designing an IoT-Based Vehicular Heatstroke Sensor Device

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