Big data analytics for large-scale wireless networks: Challenges and opportunities
The wide proliferation of various wireless communication systems and wireless devices has
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …
led to the arrival of big data era in large-scale wireless networks. Big data of large-scale …
Middleware for the Internet of Things: A survey on requirements, enabling technologies, and solutions
As the core layer of the Internet of Things (IoT), middleware bridges the gap between
applications and devices to resolve many common IoT issues and enhancing application …
applications and devices to resolve many common IoT issues and enhancing application …
Sharing the small moments: ephemeral social interaction on Snapchat
Ephemeral social media, platforms that display shared content for a limited period of time,
have become a prominent component of the social ecosystem. We draw on experience …
have become a prominent component of the social ecosystem. We draw on experience …
Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis
L Canzian, M Musolesi - Proceedings of the 2015 ACM international joint …, 2015 - dl.acm.org
One of the most interesting applications of mobile sensing is monitoring of individual
behavior, especially in the area of mental health care. Most existing systems require an …
behavior, especially in the area of mental health care. Most existing systems require an …
Designing content-driven intelligent notification mechanisms for mobile applications
An increasing number of notifications demanding the smartphone user's attention, often
arrive at an inappropriate moment, or carry irrelevant content. In this paper we present a …
arrive at an inappropriate moment, or carry irrelevant content. In this paper we present a …
Inferring mood instability on social media by leveraging ecological momentary assessments
Active and passive sensing technologies are providing powerful mechanisms to track,
model, and understand a range of health behaviors and well-being states. Despite yielding …
model, and understand a range of health behaviors and well-being states. Despite yielding …
Social behaviometrics for personalized devices in the internet of things era
As the integration of smart mobile devices to the Internet of Things (IoT) applications is
becoming widespread, mobile device usage, interactions with other devices, and mobility …
becoming widespread, mobile device usage, interactions with other devices, and mobility …
Mobile-based experience sampling for behaviour research
Abstract The Experience Sampling Method (ESM) introduces in-situ sampling of human
behaviour, and provides researchers and behavioural therapists with ecologically valid and …
behaviour, and provides researchers and behavioural therapists with ecologically valid and …
A survey on mobile affective computing
The spontaneous recognition of emotional states and personality traits of individuals has
been puzzling researchers for years whereas pertinent studies demonstrating the progress …
been puzzling researchers for years whereas pertinent studies demonstrating the progress …
MobileCoach: A novel open source platform for the design of evidence-based, scalable and low-cost behavioral health interventions: Overview and preliminary …
Effective and efficient behavioral interventions are important and of high interest today. Due
to shortcomings of related approaches, we introduce MobileCoach (mobile-coach. eu) as …
to shortcomings of related approaches, we introduce MobileCoach (mobile-coach. eu) as …