PEMAR: A pervasive middleware for activity recognition with smart phones

Prakash Vaka, Feichen Shen, Mayanka Chandrashekar, Yugyung Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

The growing affordability of smart phones and mobile devices has only added to this trend by encouraging prolonged durations of inactivity. In this paper, we present a middleware, called the Pervasive Middleware for Activity Recognition (PEMAR) that aims to increase the level of physical activity by creating a middleware for active games on mobile devices. For the PEMAR application, we present a human centered and adaptive approach that recognizes and learns human activities continuously by employing an activity library. The activity models in the library will be annotated with patterns of human activities and their contexts for general usage of activity models. This will be beneficial to many pervasive applications in terms of the availability of the accurate activity models as well as the reduction of burden for gesture training. The PEMAR middleware is composed of the following: (1) semantic models for human activity, (2) activity analysis, (3) activity recognition, (4) adaptation of motion models, and (5) motion based game applications. We evaluate the proposed PEMAR model in terms of its recognition accuracy and performance. In addition, we demonstrate the usage of the middleware through interactive activity gaming applications.

Original languageEnglish (US)
Title of host publication2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages409-414
Number of pages6
ISBN (Electronic)9781479984251
DOIs
StatePublished - Jun 24 2015
Event13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015 - St. Louis, United States
Duration: Mar 23 2015Mar 27 2015

Publication series

Name2015 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2015

Conference

Conference13th IEEE International Conference on Pervasive Computing and Communication, PerCom Workshops 2015
CountryUnited States
CitySt. Louis
Period3/23/153/27/15

Keywords

  • Activity Recognition
  • Motion-based Game Apps
  • Pervaisve Middelware
  • Real-time Data analytics

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction
  • Health(social science)

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