Efstratiou, Christos, Davies, Nigel, Kortuem, Gerd, Finney, Joe, Hooper, Rob, Lowton, Mark (2007) Experiences of Designing and Deploying Intelligent Sensor Nodes to Monitor Hand-Arm Vibrations in the Field. In: Mobisys '07 The Fifth International Conference on Mobile Systems, Applications, and Services. . pp. 127-138. ACM, New York, USA ISBN 978-1-59593-614-1. (doi:10.1145/1247660.1247677) (KAR id:38824)
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Official URL: http://dx.doi.org/10.1145/1247660.1247677 |
Abstract
The NEMO project is exploring the use of mobile sensor nodes to augment physical work artefacts in order to ensure compliance with health and safety regulations. In this paper we present our experiences of designing and deploying the NEMO Hand Arm Vibration (HAV) monitoring system. Long term exposure to hand arm vibration can lead to serious health conditions and the NEMO HAV monitoring system offers an integrated architecture for capturing HAV exposure data in the field, providing feedback about exposure levels both in the field and as input to a back-end database. Our design allows health and safety regulations specified at the enterprise level to be embedded within the wireless sensor nodes allowing them to operate without any infrastructural support. The system has been the subject of a two week field trial that took place with the collaboration of a British construction and maintenance company. During the field trial, the NEMO HAV system was deployed to a road maintenance patching gang and data was collected on HAV exposure caused by hydraulic drills. The paper reports on the results of the field trial and the lessons learned through the real deployment of the system.
Item Type: | Conference or workshop item (Paper) |
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DOI/Identification number: | 10.1145/1247660.1247677 |
Subjects: | T Technology |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts |
Depositing User: | Christos Efstratiou |
Date Deposited: | 19 Mar 2014 15:05 UTC |
Last Modified: | 05 Nov 2024 10:23 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/38824 (The current URI for this page, for reference purposes) |
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