DocumentCode :
3496628
Title :
Experiments in the detection of upper limb posture through kinestetic strain sensors
Author :
Giorgino, Toni ; Quaglini, Silvana ; Lorassi, F. ; De Rossi, D.
Author_Institution :
Dipt. di Informatica e Sistemistica, Pavia Univ.
fYear :
2006
fDate :
3-5 April 2006
Lastpage :
12
Abstract :
Conductive elastomers are 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
Keywords :
biomedical measurement; biosensors; elastomers; learning (artificial intelligence); neurophysiology; patient treatment; strain sensors; conductive elastomers; kinestetic strain sensors; machine learning; neurological rehabilitation therapy; upper limb posture; Animation; Biosensors; Capacitive sensors; Clothing; Fabrics; Immune system; Medical treatment; Sensor systems; Strain measurement; Toy industry;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wearable and Implantable Body Sensor Networks, 2006. BSN 2006. International Workshop on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-7695-2547-4
Type :
conf
DOI :
10.1109/BSN.2006.25
Filename :
1612884
Link To Document :
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