The smartphone psychology manifesto

G Miller - Perspectives on psychological science, 2012 - journals.sagepub.com
By 2025, when most of today's psychology undergraduates will be in their mid-30s, more
than 5 billion people on our planet will be using ultra-broadband, sensor-rich smartphones …

Anticipatory mobile computing: A survey of the state of the art and research challenges

V Pejovic, M Musolesi - ACM Computing Surveys (CSUR), 2015 - dl.acm.org
Today's mobile phones are far from the mere communication devices they were 10 years
ago. Equipped with sophisticated sensors and advanced computing hardware, phones can …

EmotionSense: a mobile phones based adaptive platform for experimental social psychology research

KK Rachuri, M Musolesi, C Mascolo… - Proceedings of the 12th …, 2010 - dl.acm.org
Today's mobile phones represent a rich and powerful computing platform, given their
sensing, processing and communication capabilities. Phones are also part of the everyday …

Accurate object localization with shape masks

M Marszalek, C Schmid - 2007 IEEE Conference on Computer …, 2007 - ieeexplore.ieee.org
This paper proposes an approach for object class localization which goes beyond bounding
boxes, as it also determines the outline of the object. Unlike most current localization …

A single tri-axial accelerometer-based real-time personal life log system capable of human activity recognition and exercise information generation

MW Lee, AM Khan, TS Kim - Personal and Ubiquitous Computing, 2011 - Springer
Recording a personal life log (PLL) of daily activities in a ubiquitous environment is an
emerging application of information technology. In this work, we present a single tri-axial …

Combining cloud computing and wireless sensor networks

W Kurschl, W Beer - Proceedings of the 11th International Conference on …, 2009 - dl.acm.org
Just recently emerged a new paradigm for internet-based software systems which is called
as cloud computing. The cloud provides scalable processing power and several kinds of …

[HTML][HTML] Automatic patient functionality assessment from multimodal data using deep learning techniques–Development and feasibility evaluation

E Sükei, S de Leon-Martinez, PM Olmos, A Artés - Internet Interventions, 2023 - Elsevier
Wearable devices and mobile sensors enable the real-time collection of an abundant source
of physiological and behavioural data unobtrusively. Unlike traditional in-person evaluation …

GAT: Platform for automatic context-aware mobile services for m-tourism

MC Rodriguez-Sanchez, J Martinez-Romo… - Expert Systems with …, 2013 - Elsevier
Despite the recent advances in mobile tourism systems, most of the wayfinding applications
have still to deal with some problems: a huge amount of tourist information to manage …

Supporting energy-efficient uploading strategies for continuous sensing applications on mobile phones

M Musolesi, M Piraccini, K Fodor, A Corradi… - … Pervasive 2010, Helsinki …, 2010 - Springer
Continuous sensing applications (eg, mobile social networking applications) are appearing
on new sensor-enabled mobile phones such as the Apple iPhone, Nokia and Android …

Network-level power-performance trade-off in wearable activity recognition: A dynamic sensor selection approach

P Zappi, D Roggen, E Farella, G Tröster… - ACM Transactions on …, 2012 - dl.acm.org
Wearable gesture recognition enables context aware applications and unobtrusive HCI. It is
realized by applying machine learning techniques to data from on-body sensor nodes. We …