Data mining on smartphones: An introduction and survey
Data mining is the science of extracting information or “knowledge” from data. It is a task
commonly executed on cloud computing resources, personal computers and laptops …
commonly executed on cloud computing resources, personal computers and laptops …
Indoor/outdoor switching detection using multisensor DenseNet and LSTM
In recent years, with the widespread popularity of smart mobile devices, seamless location-
based service (LBS) between indoor and outdoor (IO) space has become an emerging …
based service (LBS) between indoor and outdoor (IO) space has become an emerging …
[HTML][HTML] A fast indoor/outdoor transition detection algorithm based on machine learning
The widespread popularity of smartphones makes it possible to provide Location-Based
Services (LBS) in a variety of complex scenarios. The location and contextual status …
Services (LBS) in a variety of complex scenarios. The location and contextual status …
AWARE-Light: A smartphone tool for experience sampling and digital phenotyping
N van Berkel, S D'Alfonso, R Kurnia Susanto… - Personal and Ubiquitous …, 2023 - Springer
Due to their widespread adoption, frequent use, and diverse sensor capabilities,
smartphones have become a powerful tool for academic studies focused on sampling …
smartphones have become a powerful tool for academic studies focused on sampling …
[HTML][HTML] GPS-based indoor/outdoor detection scheme using machine learning techniques
Featured Application Supporting commercial mobile applications, improving indoor channel
estimation and mobile performance in indoor environment. Applied in Optical Camera …
estimation and mobile performance in indoor environment. Applied in Optical Camera …
A funnel Fukunaga–Koontz transform for robust indoor–outdoor detection using channel-state information in 5G IoT context
S Montella, B Berruet, O Baala, V Guillet… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
The massive machine-type communication will be at the core of ambient connectivity,
requiring for energy-efficient systems. Earlier studies highlighted the efficiency of positioning …
requiring for energy-efficient systems. Earlier studies highlighted the efficiency of positioning …
Clustering Wi-Fi fingerprints for indoor–outdoor detection
This paper presents a method for continuous indoor–outdoor environment detection on
mobile devices based solely on Wi-Fi fingerprints. Detection of indoor–outdoor switching is …
mobile devices based solely on Wi-Fi fingerprints. Detection of indoor–outdoor switching is …
Combining Context Connectivity and Behavior Association to Develop an Indoor/Outdoor Context Detection Model With Smartphone Multisensor Fusion
F Zhu, W Chen, F Guo, X Zhang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
The emergence of seamless mobile navigation systems integrating various Internet of
Things (IoT) devices has sparked interest in context awareness enhancement technology. In …
Things (IoT) devices has sparked interest in context awareness enhancement technology. In …
Robust indoor/outdoor detection method based on sparse GPS positioning information
S Iwata, K Ishikawa, T Takayama… - 2018 IEEE 8th …, 2018 - ieeexplore.ieee.org
Cell phones with GPS function as well as GPS loggers are widely used and we can easily
obtain users' geographic information. Now classifying the measured GPS positions into …
obtain users' geographic information. Now classifying the measured GPS positions into …
[PDF][PDF] Distributed and Adaptive Edge-based AI Models for Sensor Networks (DAISeN).
This position paper describes the aims and preliminary results of the Distributed and
Adaptive Edge-based AI Models for Sensor Networks (DAISeN) 1 project. The project …
Adaptive Edge-based AI Models for Sensor Networks (DAISeN) 1 project. The project …