Toggle Main Menu Toggle Search

Open Access padlockePrints

DiverNet - a Network of Inertial Sensors for Real Time Diver Visualization

Lookup NU author(s): Professor Jeffrey Neasham


Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


This paper describes the DiverNet system that allows real time reconstruction of diver's posture and its visualization using a virtual 3D model. DiverNet is a network consisting of 17 inertial sensors mounted on diver's body, enabling calculation of orientation of each body part. Based on the obtained data, diver posture can be visualized. In addition to that, DiverNet allows integration of additional sensors for measuring physiological parameters such as breathing rate. This is the first time such technology is used in the underwater. Obtained data will be used to increase diver safety by monitoring the diver in real time, as well as developing tools for understanding diver behaviour and automatically recognizing possible signs of trouble. The paper focuses on technical description of the developed system, as well as the software used for data analysis and visualization.

Publication metadata

Author(s): Goodfellow GM, Neasham JA, Rendulic I, Nađ D, Mišković N

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2015 IEEE Sensors Applications Symposium (SAS)

Year of Conference: 2015

Pages: 413-418

Print publication date: 01/01/2015

Online publication date: 25/04/2015

Acceptance date: 01/01/1900

Publisher: IEEE


DOI: 10.1109/SAS.2015.7133640

Library holdings: Search Newcastle University Library for this item

ISBN: 9781479961184