Results 31 to 40 of about 361,033 (290)
BackgroundSerious mental illnesses (SMI) are common, disabling, and challenging to treat, requiring years of monitoring and treatment adjustments.
Alexander S Young +8 more
doaj +1 more source
Characterizing user mobility using mobile sensing systems [PDF]
Recent technological advances and the ever-greater developments in sensing and computing continue to provide new ways of understanding our daily mobility. Smart devices such as smartphones or smartwatches can, for instance, provide an enhanced user experience based on different sets of built-in sensors that follow every user action and identify its ...
Sébastien Faye +3 more
openaire +2 more sources
: Rice planting patterns have changed dramatically over the past several decades in northeast China (NEC) due to the combined influence of global change and agricultural policy.
Zhong-jun LU +6 more
doaj +1 more source
Mobile Sensing for Data-Driven Mobility Modeling [PDF]
The use of mobile sensed location data for realistic human track generation is privacy sensitive. People are unlikely to share their private mobile phone data if their tracks were to be simulated. However, the ability to realistically generate human mobility in computer simulations is critical for advances in many domains, including urban planning ...
Kashif Zia +3 more
openaire +1 more source
Supporting Device Discovery and Spontaneous Interaction with Spatial References [PDF]
The RELATE interaction model is designed to support spontaneous interaction of mobile users with devices and services in their environment. The model is based on spatial references that capture the spatial relationship of a user’s device with other co ...
Carl Fischer +11 more
core +3 more sources
When Crowdsourcing Meets Mobile Sensing: A Social Network Perspective
Mobile sensing is an emerging technology that utilizes agent-participatory data for decision making or state estimation, including multimedia applications.
Chen, Pin-Yu +4 more
core +1 more source
A Novel Framework for the Holistic Monitoring and Analysis of Human Behaviour
Recent technological advances have enabled the continuous and unobtrusive monitoring of human behaviour. However, most of the existing studies focus on detecting human behaviour under the limitation of one behavioural aspect, such as physical behaviour ...
Kostas Konsolakis +2 more
doaj +1 more source
SPMK AND GRABCUT BASED TARGET EXTRACTION FROM HIGH RESOLUTION REMOTE SENSING IMAGES [PDF]
Target detection and extraction from high resolution remote sensing images is a basic and wide needed application. In this paper, to improve the efficiency of image interpretation, we propose a detection and segmentation combined method to realize semi ...
W. Cui +7 more
doaj +1 more source
Optimizing Wirelessly Powered Crowd Sensing: Trading energy for data
To overcome the limited coverage in traditional wireless sensor networks, \emph{mobile crowd sensing} (MCS) has emerged as a new sensing paradigm. To achieve longer battery lives of user devices and incentive human involvement, this paper presents a ...
Andreev, Sergey +4 more
core +1 more source
Anxiety Detection Leveraging Mobile Passive Sensing [PDF]
Anxiety disorders are the most common class of psychiatric problems affecting both children and adults. However, tools to effectively monitor and manage anxiety are lacking, and comparatively limited research has been applied to addressing the unique challenges around anxiety. Leveraging passive and unobtrusive data collection from smartphones could be
Lionel M. Levine +7 more
openaire +5 more sources

