ACM Home Page
Please provide us with feedback. Feedback
Wearable therapist: sensing garments for supporting children improve posture
Full text PdfPdf (937 KB)
Source
ACM International Conference Proceeding Series archive
Proceedings of the 11th international conference on Ubiquitous computing table of contents
Orlando, Florida, USA
SESSION: Notes table of contents
Pages 85-88  
Year of Publication: 2009
ISBN:978-1-60558-431-7
Authors
Holger Harms  ETH Zurich, Zurich, Switzerland
Oliver Amft  ETH Zurich, Zurich, Switzerland
Gerhard Tröster  ETH Zurich, Zurich, Switzerland
Mirjam Appert  ETH Zurich, Zurich, Switzerland
Roland Müller  ETH Zurich, Zurich, Switzerland
Andreas Meyer-Heim  Rehabilitation Centre Affoltern a. A., Zurich, Switzerland
Sponsors
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 23,   Downloads (12 Months): 23,   Citation Count: 0
Additional Information:

abstract   references   index terms  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1620545.1620558
What is a DOI?

ABSTRACT

This paper introduces a sensing garment to support posture coaching in children. The system measures back bending postures using acceleration sensors embedded in the garment. We present a sensing garment architecture and the evaluation of garments of different sizes in a study with 21 children. A vision-based reference system was used to evaluate sensor positions and measurement accuracy for 54 back bending postures and related head positions. Then, we asked eight physiotherapists to rate the children's back postures in this study. Ratings of experts correlated significantly with the back bending measurements obtained from the garment. The garment enables an objective assessment of back postures and could form the basis of a system that provides coaching feedback to improve postural control in children.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
L. Dunne, P. Walsh, B. Smyth, and B. Caulfield. Design and evaluation of a wearable optical sensor for monitoring seated spinal posture. Wearable Computers, 2006 10th IEEE International Symposium on, pages 65--68, 2006.
 
2
H. Harms, O. Amft, D. Roggen, and G. Tröster. Smash: A distributed sensing and processing garment for the classification of upper body postures. In BodyNets '08: Proceedings of the Third International Conference on Body Area Networks, Tempe, AZ, USA, March 2008.
 
3
E. Lou, M.J. Moreau, D.L. Hill, V.J. Raso, and J.K. Mahood. Smart garment to help children improve posture. Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE, pages 5374--5377, Sept. 2006.
 
4
C. Mattmann, O. Amft, H. Harms, C. Tröster, and F. Clemens. Recognizing upper body postures using textile strain sensors. In ISWC 2007: Proceedings of the 11th IEEE International Symposium on Wearable Computers, pages 29--36. IEEE Press, Oct. 2007.
 
5
C. Mattmann, T. Kirstein, and G. Tröster. A method to measure elongations of clothing. In Proc. 1st International Conference on Intelligent Ambience and Well-Being (Ambience05), Sept. 2005.
 
6
J. Salminen. The adolescent back. A field survey of 370 Finnish schoolchildren. Acta paediatrica Scandinavica. Supplement, 315:1, 1984.
 
7
A. Watson and C. Mac Donncha. A reliable technique for the assessment of posture: assessment criteria for aspects of posture. J Sports Med Phys Fitness, 40(3):260--70, 2000.
 
8
W.Y. Wong and M.S. Wong. Detecting spinal posture change in sitting positions with tri-axial accelerometers. Gait & Posture, 27(1):168--171, Jan. 2008.