Affiliation:
1. Group of Applied Artificial Intelligence, University Carlos III of Madrid, 28270 Colmenarejo, Spain
Abstract
The way users intectact with smartphones is changing after the improvements made in their embedded sensors. Increasingly, these devices are being employed as tools to observe individuals habits. Smartphones provide a great set of embedded sensors, such as accelerometer, digital compass, gyroscope, GPS, microphone, and camera. This paper aims to describe a distributed architecture, called inContexto, to recognize user context information using mobile phones. Moreover, it aims to infer physical actions performed by users such as walking, running, and still. Sensory data is collected by HTC magic application made in Android OS, and it was tested achieving about 97% of accuracy classifying five different actions (still, walking and running).
Subject
Computer Networks and Communications,General Engineering
Cited by
19 articles.
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1. Remote Android Access via SMS;International Journal of Advanced Research in Science, Communication and Technology;2022-04-26
2. Sensorial Network Framework Embedded in Ubiquitous Mobile Devices;Future Internet;2019-10-14
3. Medical Data Processing and Analysis for Remote Health and Activities Monitoring;Lecture Notes in Computer Science;2019
4. Why High-Performance Modelling and Simulation for Big Data Applications Matters;Lecture Notes in Computer Science;2019
5. Big Data in Mobile Commerce;Exploring the Convergence of Big Data and the Internet of Things;2018