Contextual sensitivity of the ambient temperature sensor in Smartphones

Majethia, Rahul; Mishra, Varun; Pathak, Prasad; Lohani, Divya; Acharya, Debopam; Sehrawat, Seema

doi:10.1109/comsnets.2015.7098674

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…Vogt and Fischer () have similarly noted that the usability of their protocol in monitoring of urban trees is an important element of the project. Clear protocols are also needed for collecting data from vehicles, low‐cost sensors, and smartphones in order to deal with inconsistencies in the conditions of the equipment, such as the running speed of the vehicles, the operating system version of the smartphones, the conditions of batteries, the sensor environments, that is, whether they are indoors or outdoors or if a smartphone is carried in a pocket or handbag, and a lack of calibration or modifications for sensor drift (Anderson et al, ; Honicky et al, ; Majethia et al, ; Overeem, Leijnse, et al, ; Wolters & Brandsma, ). Hence, the quality of crowdsourced atmospheric data is highly susceptible to various disturbances caused by user behavior, their movements, and other interference factors.…”

Section: Review Of Issues Associated With Crowdsourcing Applicationsmentioning

confidence: 99%

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Zheng

Tao

Maier

et al. 2018

Reviews of Geophysics

113

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Data are essential in all areas of geophysics. They are used to better understand and manage systems, either directly or via models. Given the complexity and spatiotemporal variability of geophysical systems (e.g., precipitation), a lack of sufficient data is a perennial problem, which is exacerbated by various drivers, such as climate change and urbanization. In recent years, crowdsourcing has become increasingly prominent as a means of supplementing data obtained from more traditional sources, particularly due to its relatively low implementation cost and ability to increase the spatial and/or temporal resolution of data significantly. Given the proliferation of different crowdsourcing methods in geophysics and the promise they have shown, it is timely to assess the state of the art in this field, to identify potential issues and map out a way forward. In this paper, crowdsourcing‐based data acquisition methods that have been used in seven domains of geophysics, including weather, precipitation, air pollution, geography, ecology, surface water, and natural hazard management, are discussed based on a review of 162 papers. In addition, a novel framework for categorizing these methods is introduced and applied to the methods used in the seven domains of geophysics considered in this review. This paper also features a review of 93 papers dealing with issues that are common to data acquisition methods in different domains of geophysics, including the management of crowdsourcing projects, data quality, data processing, and data privacy. In each of these areas, the current status is discussed and challenges and future directions are outlined.

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Section: Review Of Issues Associated With Crowdsourcing Applicationsmentioning

confidence: 99%

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Zheng

Tao

Maier

et al. 2018

Reviews of Geophysics

113

View full text Add to dashboard Cite

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“…Using smartphones to estimate ambient temperature has gained attraction in recent years, owing to their widespread availability [7]- [11]. Though temperature sensors were previously integrated into smartphones, studies have indicated that these estimations are influenced by various factors which bring significant measurement bias [7]. These years, researchers have shifted their focus towards estimating ambient temperature based on phone battery temperature and other phone state data.…”

Section: A Estimating Ambient Temperature With Smartphonesmentioning

confidence: 99%

A Phone-Based Distributed Ambient Temperature Measurement System With an Efficient Label-Free Automated Training Strategy

Chen,

Shi,

Zhang

et al. 2024

IEEE Trans. on Mobile Comput.

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“…Fluctuations and changes in ambient temperature are easily tolerated by adults, but not by nursing infants [12]. The use of wireless sensors with external and smartphone interfaces for environmental monitoring has been widely viewed in the past [13]. Body temperature detection sensor and ambient temperature detection sensor applications have been proven usable.…”

Section: Strollersmentioning

confidence: 99%

WellGuard: An Interactive System for New Parents to Care for Their Babies

Xie,

Yao,

Huang

et al. 2024

Frontiers in Artificial Intelligence and Applications

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The increase in the number of infants is a clear trend as society develops and demographics change. In this situation, the health of infants becomes particularly important. Infants, due to their physiological peculiarities and underdeveloped immune systems, are, firstly, relatively sensitive to temperature changes. Their ability to regulate body temperature is not as perfect as that of adults, and they are easily affected by the external environment, making it more difficult to maintain a stable body temperature. Effects of abnormal body temperature in infants. Abnormal body temperature in infants may lead to many health problems, including but not limited to fever, hypothermia, generalized discomfort and restlessness, and decreased sleep quality. The inability of infants to actively express temperature discomfort, which can be easily overlooked, makes it important to monitor and regulate infant body temperature. Therefore, in this paper, we introduce WellGuard, a system that helps parents to effectively master basic infant care. WellGuard consists of a stroller and an app that provides real-time feedback based on the infant’s body temperature and ambient temperature while the infant is using the stroller, and changes in the infant’s body temperature as well as ambient temperature are recorded. Experimental tests were conducted to determine the basic performance of WellGuard, and a preliminary user study of WellGuard was also conducted, which showed that parents were more receptive to WellGuard and more confident in caring for their infants during the learning process.

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Contextual sensitivity of the ambient temperature sensor in Smartphones

Cited by 8 publications

References 13 publications

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions

A Phone-Based Distributed Ambient Temperature Measurement System With an Efficient Label-Free Automated Training Strategy

WellGuard: An Interactive System for New Parents to Care for Their Babies

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