Experiments in the Detection of Upper Limb Posture through Kinestetic Strain Sensor

Cambridge, Massachusetts, U.S.A April 03-April 05

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http://doi.ieeecomputersociety.org/10.1109/BSN.2006.25

International Workshop on Wearable an ...

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	ASCII Text	x
	Toni Giorgino, Silvana Quaglini, Federico Lorussi, Danilo De Rossi, "Experiments in the Detection of Upper Limb Posture through Kinestetic Strain Sensor," Wearable and Implantable Body Sensor Networks, International Workshop on, pp. 9-12, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006.

	BibTex	x
	@article{ 10.1109/BSN.2006.25, author = {Toni Giorgino and Silvana Quaglini and Federico Lorussi and Danilo De Rossi}, title = {Experiments in the Detection of Upper Limb Posture through Kinestetic Strain Sensor}, journal ={Wearable and Implantable Body Sensor Networks, International Workshop on}, volume = {0}, year = {2006}, isbn = {0-7695-2547-4}, pages = {9-12}, doi = {http://doi.ieeecomputersociety.org/10.1109/BSN.2006.25}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Wearable and Implantable Body Sensor Networks, International Workshop on TI - Experiments in the Detection of Upper Limb Posture through Kinestetic Strain Sensor SN - 0-7695-2547-4 SP9 EP12 A1 - Toni Giorgino, A1 - Silvana Quaglini, A1 - Federico Lorussi, A1 - Danilo De Rossi, PY - 2006 KW - null VL - 0 JA - Wearable and Implantable Body Sensor Networks, International Workshop on ER -

Toni Giorgino, DIS, University of Pavia, Italy

Silvana Quaglini, DIS, University of Pavia, Italy

Federico Lorussi, University of Pisa, Italy

Danilo De Rossi, University of Pisa, Italy

Conductive elastomers are a novel strain-sensing technology which can be embedded unobtrusively into a garment?s fabric. A prototype was realized to simultaneously measure the strains at multiple points of a shirt covering the thorax and upper limb. This paper describes preliminary experiments with machine learning techniques, employed to analyse the strain measures in order to reliably reconstruct upper-limb posture. The scope of the application is to detect execution, correctness and progress of physical exercises performed as part of neurological rehabilitation therapy.

Citation:

Toni Giorgino, Silvana Quaglini, Federico Lorussi, Danilo De Rossi, "Experiments in the Detection of Upper Limb Posture through Kinestetic Strain Sensor," bsn, pp.9-12, International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), 2006

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