Garment-based body sensing using foam sensors

Files in This Item:
File Description SizeFormat 
P282-Dunne,Brady,Tynan,Lau,Smyth,Diamond,O'Hare-06.pdf1.23 MBAdobe PDFDownload
Title: Garment-based body sensing using foam sensors
Authors: Dunne, Lucy
Brady, Sarah
Tynan, Richard
Lau, Kim
Smyth, Barry
Diamond, Dermot
O'Hare, G. M. P. (Greg M. P.)
Permanent link:
Date: 16-Jan-2006
Abstract: Wearable technology is omnipresent to the user. Thus, it has the potential to be significantly disruptive to the user’s daily life. Context awareness and intuitive device interfaces can help to minimize this disruption, but only when the sensing technology itself is not physically intrusive: i.e., when the interface preserves the user’s homeostatic comfort. This work evaluates a novel foambased sensor for use in body-monitoring for contextaware and gestural interfaces. The sensor is particularly attractive for wearable interfaces due to its positive wearability characteristics (softness, pliability, washability), but less precise than other similar sensors. The sensor is applied in the garment-based monitoring of breathing, shoulder lift (shrug), and directional arm movement, and its accuracy is evaluated in each application. We find the foam technology most successful in detecting the presence of movement events using a single sensor, and less successful in measuring precise, relative movements from the coordinated responses of multiple sensors. The implications of these results are considered from a wearable computing perspective.
Type of material: Conference Publication
Publisher: Australian Computer Society
Copyright (published version): 2006, Australian Computer Society, Inc.
Keywords: Wearable technologyWearable computingContext awarenessGestural interfacesBody sensing
Language: en
Status of Item: Peer reviewed
Is part of: Proceeding AUIC '06 Proceedings of the 7th Australasian User interface conference - Volume 50
Conference Details: The 7th Australian User Interface Conference (AUIC 2006), Hobart, Tasmania, January 16-19, 2006
Appears in Collections:Computer Science Research Collection
Public Health, Physiotherapy and Sports Science Research Collection

Show full item record

Google ScholarTM


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.