2,996 research outputs found
Inferring Person-to-person Proximity Using WiFi Signals
Today's societies are enveloped in an ever-growing telecommunication
infrastructure. This infrastructure offers important opportunities for sensing
and recording a multitude of human behaviors. Human mobility patterns are a
prominent example of such a behavior which has been studied based on cell phone
towers, Bluetooth beacons, and WiFi networks as proxies for location. However,
while mobility is an important aspect of human behavior, understanding complex
social systems requires studying not only the movement of individuals, but also
their interactions. Sensing social interactions on a large scale is a technical
challenge and many commonly used approaches---including RFID badges or
Bluetooth scanning---offer only limited scalability. Here we show that it is
possible, in a scalable and robust way, to accurately infer person-to-person
physical proximity from the lists of WiFi access points measured by smartphones
carried by the two individuals. Based on a longitudinal dataset of
approximately 800 participants with ground-truth interactions collected over a
year, we show that our model performs better than the current state-of-the-art.
Our results demonstrate the value of WiFi signals in social sensing as well as
potential threats to privacy that they imply
Medical data processing and analysis for remote health and activities monitoring
Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human\u2019s health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices. Such systems enable continuous monitoring of patients psychological and health conditions by sensing and transmitting measurements such as heart rate, electrocardiogram, body temperature, respiratory rate, chest sounds, or blood pressure. Pervasive healthcare, as a relevant application domain in this context, aims at revolutionizing the delivery of medical services through a medical assistive environment and facilitates the independent living of patients. In this chapter, we discuss (1) data collection, fusion, ownership and privacy issues; (2) models, technologies and solutions for medical data processing and analysis; (3) big medical data analytics for remote health monitoring; (4) research challenges and opportunities in medical data analytics; (5) examples of case studies and practical solutions
Mobile Data Science: Towards Understanding Data-Driven Intelligent Mobile Applications
Due to the popularity of smart mobile phones and context-aware technology,
various contextual data relevant to users' diverse activities with mobile
phones is available around us. This enables the study on mobile phone data and
context-awareness in computing, for the purpose of building data-driven
intelligent mobile applications, not only on a single device but also in a
distributed environment for the benefit of end users. Based on the availability
of mobile phone data, and the usefulness of data-driven applications, in this
paper, we discuss about mobile data science that involves in collecting the
mobile phone data from various sources and building data-driven models using
machine learning techniques, in order to make dynamic decisions intelligently
in various day-to-day situations of the users. For this, we first discuss the
fundamental concepts and the potentiality of mobile data science to build
intelligent applications. We also highlight the key elements and explain
various key modules involving in the process of mobile data science. This
article is the first in the field to draw a big picture, and thinking about
mobile data science, and it's potentiality in developing various data-driven
intelligent mobile applications. We believe this study will help both the
researchers and application developers for building smart data-driven mobile
applications, to assist the end mobile phone users in their daily activities.Comment: Journal, 11 pages, Double Colum
- …