Results 1 to 10 of about 6,787,479 (245)
Sensors, 2013 Rich-sensor smart phones have made possible the recent birth of the mobile sensing research area as part of ubiquitous sensing which integrates other areas such as wireless sensor networks and web sensing.
Elsa Macias, Alvaro Suarez, Jaime Lloret
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Sensors, 2021 The effects of environmental exposure on human health have been widely explored by scholars in health geography for decades. However, recent advances in geospatial technologies, especially the development of mobile approaches to collecting real-time and ...
Jue Wang +5 more
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A Variable Weight Privacy-Preserving Algorithm for the Mobile Crowd Sensing Network [PDF]
Journal of Electrical and Computer Engineering, 2017 Mobile crowd sensing (MCS) network collects scenario, environmental, and individual data within a specific range via the intelligent sensing equipment carried by the mobile users, thus providing social decision-making services.
Jiezhuo Zhong +3 more
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Individual-Level Modeling of Depressive Symptom Severity Using Smartphone and Wearable Data: Time-Aware 1-Year Study With Feature-Group Contributions [PDF]
JMIR Formative ResearchBackgroundSmartphones and wearables can continuously capture behavioral and physiological data in everyday life. Such mobile-sensing data may help track depressive symptoms more closely than occasional retrospective questionnaires, but prior findings ...
Simon Schreynemackers +7 more
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Task Allocation Towards Individual Task Quality Assurance in Mobile Crowd Sensing [PDF]
Jisuanji gongcheng, 2022 In Mobile Crowd Sensing(MCS), most existing task allocation methods focus on the overall sensing quality of the platform and do not fully consider task competition for workers, budgets and other resources.This cannot effectively guarantee the sensing ...
YANG Guisong, WU Xiaotian, GAO Li, HE Xingyu
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Mobile Sensing in the COVID-19 Era: A Review
Health Data Science, 2022 Background. During the COVID-19 pandemic, mobile sensing and data analytics techniques have demonstrated their capabilities in monitoring the trajectories of the pandemic, by collecting behavioral, physiological, and mobility data on individual ...
Zhiyuan Wang +5 more
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Horizontal Integrated Framework for Mobile Crowdsensing
IEEE Access, 2021 Mobile crowdsensing is a promising paradigm to leverage the power of people to collect large-scale spatially distributed data. This concept has been intensely studied to efficiently and securely complete sensing tasks at lower cost.
Yu Nakayama
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InCense IoT: A Collective Sensing System for Behavior Data in Shared Spaces
Proceedings, 2018 Behavioral sensing systems collect data from smartphones, wearables, and other devices with the aim of analyzing and making sense of them. In this work, we present InCense IoT, a collective sensing system which uses mobile and ubiquitous sensors for ...
Jesus Ramos-Monteon +3 more
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IEEE Access, 2019 Dynamic spectrum access (DSA) emerging as an effective way of improving the utilization of the scarce spectrum has attracted great attention in the communication field.
Xiaohui Li, Qi Zhu, Xianbin Wang
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A distributed algorithm for maximizing utility of data collection in a crowd sensing system
International Journal of Distributed Sensor Networks, 2016 Mobile crowd sensing harnesses the data sensing capability of individual smartphones, underpinning a variety of valuable knowledge discovery, environment monitoring, and decision-making applications.
Qinghua Chen +3 more
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