Performance evaluation of COVID-19 proximity detection using bluetooth LE signal
The risk of COVID-19 transmission increases when an uninfected person is less than 6 ft
from an infected person for longer than 15 minutes. Infectious disease experts working on …
from an infected person for longer than 15 minutes. Infectious disease experts working on …
Indolabel: Predicting indoor location class by discovering location-specific sensor data motifs
This study presents a method for predicting location classes of a room such as a kitchen,
and restroom, where a user is located by discovering location-specific sensor data motifs in …
and restroom, where a user is located by discovering location-specific sensor data motifs in …
Predicting location semantics combining active and passive sensing with environment-independent classifier
M Tachikawa, T Maekawa, Y Matsushita - Proceedings of the 2016 acm …, 2016 - dl.acm.org
This paper presents a method for estimating a user's indoor location without using training
data collected by the user in his/her environment. Specifically, we attempt to predict the …
data collected by the user in his/her environment. Specifically, we attempt to predict the …
Achieving accurate room-level indoor location estimation with emerging IoT networks
A motivating, core capability of most smart, Internet of Things enabled spaces (eg, home,
office, hospital, factory) is the ability to leverage context of use. Location is a key context …
office, hospital, factory) is the ability to leverage context of use. Location is a key context …
Sherlock: A crowd-sourced system for automatic tagging of indoor floor plans
Having knowledge of the users' indoor location and the semantics of their environment can
facilitate the development of many indoor context-aware applications. For such applications …
facilitate the development of many indoor context-aware applications. For such applications …
ALPS: Accurate landmark positioning at city scales
Context awareness is crucial for ubiquitous computing, and position is an important aspect
of context. In an ideal world, every stationary object or entity in the built environment would …
of context. In an ideal world, every stationary object or entity in the built environment would …
Radio-frequency-based indoor-localization techniques for enhancing Internet-of-Things applications
An important capability of most smart, Internet-of-Things-enabled spaces (eg, office, home,
hospital, factory) is the ability to leverage context of use. Location is a key context element …
hospital, factory) is the ability to leverage context of use. Location is a key context element …
Inferring room semantics using acoustic monitoring
Having knowledge of the environmental context of the user ie the knowledge of the users'
indoor location and the semantics of their environment, can facilitate the development of …
indoor location and the semantics of their environment, can facilitate the development of …
[图书][B] Automatic Camera Calibration Techniques for Collaborative Vehicular Applications
GK Tummala - 2019 - search.proquest.com
In today's age of rapidly evolving smart city infrastructure, several cutting-edge applications
have found interest in the research community, such as traffic monitoring, accident …
have found interest in the research community, such as traffic monitoring, accident …
[PDF][PDF] Machine Learning for RF Cloud in Proximity Detection and Intelligent Spectrum Management: An Empirical Study
Z Su - 2024 - digital.wpi.edu
The RF cloud is a shared Radio Frequency (RF) database supported by various wireless
technologies. The RF cloud, constituted by billions of Internet of Things (IoT) devices, Wi-Fi …
technologies. The RF cloud, constituted by billions of Internet of Things (IoT) devices, Wi-Fi …