A Framework for Detecting the Presence of an Unattended Child in a Vehicle

Lee, Seung-Yeong; Jang, Hyeonguk; Lee, Woojoo

doi:10.1109/isocc50952.2020.9332914

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…The survey design methodology employed in this study places the user at the forefront of product development and design. This approach offers several advantages, including gaining insights into users' comprehension of designs and requirements, facilitating design iteration and evaluation, and ultimately ensuring the product's utility and usability [26]. To gather feedback and requirements for the development of the VHSD, a survey was conducted.…”

Section: Design Surveymentioning

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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Section: Design Surveymentioning

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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“…As Internet of Things (IoT) has grown significantly, numerous sensors and embedded systems have been developed explosively and are being released as IoT devices [1][2][3]. One of the areas where IoT market trends are most prominent is the automotive industry.…”

Section: Introductionmentioning

confidence: 99%

TEI-DTA: Optimizing a Vehicular Sensor Network Operating with Ultra-Low Power System-on-Chips

Lee

2021

Electronics

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In the era of the Internet of Things (IoT), the interest and demand for embedded systems have been explosively increasing. In particular, vehicular sensor networks are one of the fields where IoT-oriented embedded devices (also known as IoT devices) are being actively used. These IoT devices are widely deployed in and out of the vehicle to check vehicle conditions, prevent accidents, and support autonomous driving, forming a vehicular sensor network. In particular, such sensor networks mainly consist of third-party devices that operate independently of the vehicle and run on their own batteries. After all, like all battery-powered embedded devices, the IoT devices for the vehicular sensor network also suffer from limited power sources, and thus research on how to design/operate them energy-efficiently is drawing attention from both academia and industry. This paper notes that the vehicular sensor network may be the best application for ultra-low power system on-chips (ULP SoCs). The ULP SoCs are mainly designed based on ultra-low voltage operating (ULV) circuits, and this paper aims to realize the energy-optimized driving of the network by applying state of the art (SoA) low-power techniques exploiting the unique characteristics of ULV circuits to the IoT devices in the vehicular sensor network. To this end, this paper proposes an optimal task assignment algorithm that can achieve the best energy-efficient drive of the target network by fully utilizing the SoA low power techniques for ULV circuits. Along with a detailed description of the proposed algorithm, this paper demonstrates the effectiveness of the proposed method by providing an in-depth evaluation process and experimental results for the proposed algorithm.

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Machine Learning Classification to Detect Unattended Child in Vehicle Using Sensor Signal: A Review

Binti Abu Zarin,

Ghani,

Bin Kamarulzaman

2023

2023 IEEE 8th International Conference on Software Engineering and Computer Systems (ICSECS)

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A Framework for Detecting the Presence of an Unattended Child in a Vehicle

Cited by 3 publications

References 3 publications

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

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

TEI-DTA: Optimizing a Vehicular Sensor Network Operating with Ultra-Low Power System-on-Chips

Machine Learning Classification to Detect Unattended Child in Vehicle Using Sensor Signal: A Review

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