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Sensing under Uncertainty for Mobile Robots
Journal of Intelligent and Robotic Systems, 1999zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Sobh, Tarek M. +2 more
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Versatile Spectrum Sensing on Mobile Devices?
2010 IEEE Symposium on New Frontiers in Dynamic Spectrum (DySPAN), 2010Spectrum sensing is a key aspect in the realization of opportunistic radios, which will allow a significantly more efficient usage of the scarce spectrum resources. This paper presents a solution to upgrade mobile devices with spectrum sensing capabilities.
Dejonghe, Antoine +10 more
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2019
In this chapter, we discuss the privacy implications of mobile sensing and modern psycho-social sciences. We aim to raise awareness of the multifaceted nature of privacy, describing the legal, technical and applied aspects in some detail. Not only since the European GDPR, these aspects lead to a broad spectrum of challenges of which data processors ...
Frank Kargl +3 more
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In this chapter, we discuss the privacy implications of mobile sensing and modern psycho-social sciences. We aim to raise awareness of the multifaceted nature of privacy, describing the legal, technical and applied aspects in some detail. Not only since the European GDPR, these aspects lead to a broad spectrum of challenges of which data processors ...
Frank Kargl +3 more
openaire +1 more source
2012
Recent advances in affordable positioning hardware and software have made the availability of location data ubiquitous. Personal devices such as tablet PCs, smart phones and even sport watches are all able to collect and store a user’s location over time, providing an ever-growing supply of spatiotemporal data.
Nicholas D. Larusso, Ambuj K. Singh
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Recent advances in affordable positioning hardware and software have made the availability of location data ubiquitous. Personal devices such as tablet PCs, smart phones and even sport watches are all able to collect and store a user’s location over time, providing an ever-growing supply of spatiotemporal data.
Nicholas D. Larusso, Ambuj K. Singh
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Sense-making from Distributed and Mobile Sensing Data
Proceedings of the 51st Annual Design Automation Conference, 2014This paper presents a scalable and collaborative mobile crowdsensing framework for efficient collective understanding of users, contexts, and their environments. Collaborative mobile crowdsensing enables information to be gathered and shared by users who are directly involved (participatory sensing) or integrated seamlessly as needed (opportunistic ...
Santanu Sarma +2 more
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Sensing meets mobile social networks
Proceedings of the 6th ACM conference on Embedded network sensor systems, 2008We present the design, implementation, evaluation, and user ex periences of theCenceMe application, which represents the first system that combines the inference of the presence of individuals using off-the-shelf, sensor-enabled mobile phones with sharing of this information through social networking applications such as Facebook and MySpace.
Emiliano Miluzzo +8 more
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Mobile Sensing Platforms for Implementing Mobile Sensor Networks
2014Wireless Sensor Networks (WSNs) have received significant attention from the wireless networking research community within the last decade due to their potential to be deployed in many real-life applications where human accessibility is limited. While early deployments of WSNs utilized stationary tiny sensors, later, due to wide range of application ...
Kemal Akkaya +2 more
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Mobile Crowdsourcing and Inertial Sensing
2018This chapter presents the preliminary background on mobile crowdsourcing and inertial sensing, which together have opened the new possibilities for wireless indoor localization, after more than a decade of development. In particular, we first introduce the basic concept of mobile crowdsourcing.
Chenshu Wu, Zheng Yang, Yunhao Liu
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