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Informatics, Volume 5, Issue 2

June 2018 - 14 articles

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Articles (14)

  • Article
  • Open Access
38 Citations
11,896 Views
22 Pages

Mobile and wearable devices now have a greater capability of sensing human activity ubiquitously and unobtrusively through advancements in miniaturization and sensing abilities. However, outstanding issues remain around the energy restrictions of the...

  • Article
  • Open Access
95 Citations
22,192 Views
18 Pages

Real-Time and Embedded Detection of Hand Gestures with an IMU-Based Glove

  • Chaithanya Kumar Mummadi,
  • Frederic Philips Peter Leo,
  • Keshav Deep Verma,
  • Shivaji Kasireddy,
  • Philipp M. Scholl,
  • Jochen Kempfle and
  • Kristof Van Laerhoven

This article focuses on the use of data gloves for human-computer interaction concepts, where external sensors cannot always fully observe the user’s hand. A good concept hereby allows to intuitively switch the interaction context on demand by using...

  • Article
  • Open Access
130 Citations
20,787 Views
37 Pages

A Comprehensive Study of Activity Recognition Using Accelerometers

  • Niall Twomey,
  • Tom Diethe,
  • Xenofon Fafoutis,
  • Atis Elsts,
  • Ryan McConville,
  • Peter Flach and
  • Ian Craddock

This paper serves as a survey and empirical evaluation of the state-of-the-art in activity recognition methods using accelerometers. The paper is particularly focused on long-term activity recognition in real-world settings. In these environments, da...

  • Article
  • Open Access
167 Citations
19,313 Views
17 Pages

Convolutional Neural Networks for Human Activity Recognition Using Body-Worn Sensors

  • Fernando Moya Rueda,
  • René Grzeszick,
  • Gernot A. Fink,
  • Sascha Feldhorst and
  • Michael Ten Hompel

Human activity recognition (HAR) is a classification task for recognizing human movements. Methods of HAR are of great interest as they have become tools for measuring occurrences and durations of human actions, which are the basis of smart assistive...

  • Article
  • Open Access
35 Citations
10,332 Views
16 Pages

Recommender systems are powerful online tools that help to overcome problems of information overload. They make personalized recommendations to online users using various data mining and filtering techniques. However, most of the existing recommender...

  • Article
  • Open Access
18 Citations
11,139 Views
14 Pages

Fitness Activity Recognition on Smartphones Using Doppler Measurements

  • Biying Fu,
  • Florian Kirchbuchner,
  • Arjan Kuijper,
  • Andreas Braun and
  • Dinesh Vaithyalingam Gangatharan

Quantified Self has seen an increased interest in recent years, with devices including smartwatches, smartphones, or other wearables that allow you to monitor your fitness level. This is often combined with mobile apps that use gamification aspects t...

  • Article
  • Open Access
8 Citations
10,412 Views
18 Pages

The presence of the Internet of Things (IoT) in healthcare through the use of mobile medical applications and wearable devices allows patients to capture their healthcare data and enables healthcare professionals to be up-to-date with a patient&rsquo...

  • Article
  • Open Access
8 Citations
13,983 Views
52 Pages

Building Realistic Mobility Models for Mobile Ad Hoc Networks

  • Adrian Pullin,
  • Colin Pattinson and
  • Ah-Lian Kor

A mobile ad hoc network (MANET) is a self-configuring wireless network in which each node could act as a router, as well as a data source or sink. Its application areas include battlefields and vehicular and disaster areas. Many techniques applied to...

  • Article
  • Open Access
24 Citations
9,144 Views
20 Pages

One of the major problems that social networks face is the continuous production of successful, user-targeted information in the form of recommendations, which are produced exploiting technology from the field of recommender systems. Recommender syst...

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Informatics - ISSN 2227-9709