Personalized motion sensor driven gesture recognition in the FIWARE cloud platform

Preventis, A. and Stravoskoufos, K. and Sotiriadis, Stelios and Petrakis, E.G.M. (2015) Personalized motion sensor driven gesture recognition in the FIWARE cloud platform. In: UNSPECIFIED (ed.) Parallel and Distributed Computing (ISPDC), 2015 14th International Symposium on. IEEE, pp. 19-26. ISBN 9781467371476.

Text
07165127.pdf - Published Version of Record
Restricted to Repository staff only
Download (198kB)

Official URL: https://doi.org/10.1109/ISPDC.2015.10

Abstract

Gesture recognition technology enables new means of user communication and interaction with machines. This work focuses on gesture recognition by analyzing data, obtained by motion sensors, in the cloud. We present Interact, a cloud based gesture recognition system that uses FIWARE. To pro-mote the development of Future Internet (FI) applications, all functionalities of Interact are offered as cloud services, enabling elasticity, lower cost of maintenance and off-site efficient data storage. To promote productivity, Interact offers a REST API for recognizing, storing and managing customized gesture collections in the cloud as well as for subscribing to sensors. The system is sensor independent and is designed to be compliant with the most popular motion sensors (i.e., Leap Motion or Kinect). To demonstrate the functionalities of Interact, a system prototype has been developed utilizing the LEAP Motion sensor, offering all the previously described functionalities. The prototype is hosted on FIWARE Lab and is available for testing.

Metadata

Item Type:	Book Section
Additional Information:	ISSN: 2379-5352
Keyword(s) / Subject(s):	application program interfaces, cloud computing, gesture recognition, human computer interaction, image motion analysis, image sensors, FIWARE cloud platform, Interact, REST API, cloud based gesture recognition system, cloud services, future Internet applications, gesture recognition technology, maintenance cost, off-site efficient data storage, personalized motion sensor driven gesture recognition, user communication, Assistive technology, Cloud computing, Context, Databases, Gesture recognition, Subscriptions, FIWARE, cloud application, future internet, gesture recognition, motion sensors, real-time translation
School:	Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
Research Centres and Institutes:	Birkbeck Knowledge Lab
Depositing User:	Stelios Sotiriadis
Date Deposited:	10 May 2018 08:16
Last Modified:	09 Aug 2023 12:43
URI:	https://eprints.bbk.ac.uk/id/eprint/21812

Statistics

DownloadsShow export options

Activity Overview

6 month trend

1Download

6 month trend

187Hits

Additional statistics are available via IRStats2.

Archive Staff Only (login required)

Edit/View Item