Results 41 to 50 of about 364,278 (313)
Optimizing Wirelessly Powered Crowd Sensing: Trading energy for data
, 2017 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
Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges [PDF]
, 2015 Today's mobile phones are far from mere communication devices they were ten years ago. Equipped with sophisticated sensors and advanced computing hardware, phones can be used to infer users' location, activity, social setting and more.
Musolesi, Mirco, Pejovic, Veljko
core +2 more sources
Anxiety Detection Leveraging Mobile Passive Sensing [PDF]
, 2020 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
Target Recognition Based on Millimeter-Wave-Sensed Point Cloud Using PointNet++ Model
SensorsDuring walking, the human lower limbs primarily support the body and drive forward motion, while the arms exhibit greater variability and flexibility without bearing such loads.
Xianxian He +8 more
doaj +1 more source
Supporting Device Discovery and Spontaneous Interaction with Spatial References [PDF]
, 2008 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
Symbiotic Sensing for Energy-Intensive Tasks in Large-Scale Mobile Sensing Applications
Sensors, 2017 Energy consumption is a critical performance and user experience metric when developing mobile sensing applications, especially with the significantly growing number of sensing applications in recent years.
Duc V. Le +3 more
doaj +1 more source
Predicting Symptoms of Depression and Anxiety Using Smartphone and Wearable Data
Frontiers in Psychiatry, 2021 Background: Depression and anxiety are leading causes of disability worldwide but often remain undetected and untreated. Smartphone and wearable devices may offer a unique source of data to detect moment by moment changes in risk factors associated with ...
Isaac Moshe +8 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
FeinPhone: Low-cost Smartphone Camera-based 2D Particulate Matter Sensor
Sensors, 2019 Precise, location-specific fine dust measurement is central for the assessment of urban air quality. Classic measurement approaches require dedicated hardware, of which professional equipment is still prohibitively expensive (>10k$) for dense ...
Matthias Budde +5 more
doaj +1 more source
RESEARCH ON KEY TECHNOLOGY OF MINING REMOTE SENSING DYNAMIC MONITORING INFORMATION SYSTEM [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Problems exist in remote sensing dynamic monitoring of mining are expounded, general idea of building remote sensing dynamic monitoring information system is presented, and timely release of service-oriented remote sensing monitoring results is ...
J. Sun, H. Xiang
doaj +1 more source