Results 21 to 30 of about 6,787,479 (245)
Online Trajectory Estimation Based on a Network-Wide Cellular Fingerprint Map
Sensors, 2022 Cellular signaling data is widely available in mobile communications and contains abundant movement sensing information of individual travelers. Using cellular signaling data to estimate the trajectories of mobile users can benefit many location-based ...
Langqiao Chen +3 more
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Tracking Personal Health-Environment Interaction with Novel Mobile Sensing Devices
Sensors, 2018 The development of connected health devices has allowed for a more accurate assessment of a person’s state under free-living conditions. In this work, we use two mobile sensing devices and investigate the correlation between individual’s ...
Yue Deng +6 more
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PLoS ONE, 2022 The impacts of early pregnancy and young motherhood on everyday life, including interpersonal and individual behavior, are not well-known. Passive digital sensing on mobile technology including smartphones and passive Bluetooth beacons can yield ...
Ashley Hagaman +9 more
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An Optimization Approach to Multi-Sensor Operation for Multi-Context Recognition
Sensors, 2021 Mobile devices and sensors have limited battery lifespans, limiting their feasibility for context recognition applications. As a result, there is a need to provide mechanisms for energy-efficient operation of sensors in settings where multiple contexts ...
Raslan Kain, Hazem Hajj
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Location Privacy-Aware Task Bidding and Assignment for Mobile Crowd-Sensing
IEEE Access, 2019 Mobile Crowd-Sensing (MCS) is a dominant sensing paradigm for Internet of Things (IoT), with a lot of potentials as it allows data collection through the user's sensor embedded mobile devices.
Ke Yan +5 more
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On-Device Deep Personalization for Robust Activity Data Collection
Sensors, 2020 One of the biggest challenges of activity data collection is the need to rely on users and keep them engaged to continually provide labels. Recent breakthroughs in mobile platforms have proven effective in bringing deep neural networks powered ...
Nattaya Mairittha +2 more
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An Analysis of ML-Based Outlier Detection from Mobile Phone Trajectories
Future Internet, 2022 This paper provides an analysis of two machine learning algorithms, density-based spatial clustering of applications with noise (DBSCAN) and the local outlier factor (LOF), applied in the detection of outliers in the context of a continuous framework for
Francisco Melo Pereira, Rute C. Sofia
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A multisine approach for trajectory optimization based on information gain. [PDF]
, 2003 This paper presents amultisine approach for trajectory optimization based on information gain, with distance and orientation sensing to knownbeacons. It addresses the problem of active sensing, i.e. the selection of a robot motion or sequence of motions,
Mihaylova, L +2 more
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Truthful Incentive Mechanisms for Social Cost Minimization in Mobile Crowdsourcing Systems
Sensors, 2016 With the emergence of new technologies, mobile devices are capable of undertaking computational and sensing tasks. A large number of users with these mobile devices promote the formation of the Mobile Crowdsourcing Systems (MCSs).
Zhuojun Duan +5 more
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Applied Sciences, 2022 Modular robots have the advantage of self-assembling into a large and complex structure to travel through territories beyond an individual robot’s capacity.
Haiyuan Li +5 more
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