DocumentCode
2040952
Title
Body Gesture and Posture Classification by Smart Clothes
Author
De Rossi, Danilo ; Bartalesi, Raphael ; Lorussi, Federico ; Tognetti, Alessandro ; Zupone, Giuseppe
Author_Institution
Interdepartmental Res. Center, Pisa Univ.
fYear
2006
fDate
20-22 Feb. 2006
Firstpage
1189
Lastpage
1193
Abstract
Monitoring body kinematics has fundamental relevance in several biological and technical disciplines. In particular the possibility to know the posture exactly may furnish a main aid in rehabilitation topics. This paper deals with the design, the development and the realization of sensing garments, from the characterization of innovative comfortable and spreadable sensors to the methodologies employed to gather information on posture and movement. In the present work an upper limb kinesthetic garment (ULKG), which allows to reconstruct shoulder, elbow and wrist movements and a kinesthetic glove able to detect posture an gesture of the hand are presented. Sensors are directly integrated in Lycra fabrics by using conductive elastomer (CE) sensors. CE sensors show piezoresistive properties when a deformation is applied and they can be integrated onto fabric or other flexible substrate to be employed as strain sensors
Keywords
biomechanics; bone; clothing; elastomers; gesture recognition; intelligent materials; intelligent sensors; patient monitoring; patient rehabilitation; piezoresistance; strain sensors; Lycra fabrics; ULKG; body gesture classification; body kinematics monitoring; body posture classification; conductive elastomer sensors; deformation; elbow movement; kinesthetic glove; piezoresistive properties; sensing garments; shoulder movement; smart clothes; spreadable sensors; strain sensors; upper limb kinesthetic garment; wrist movement; Biosensors; Capacitive sensors; Clothing; Elbow; Fabrics; Kinematics; Monitoring; Piezoresistance; Sensor phenomena and characterization; Wrist;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Robotics and Biomechatronics, 2006. BioRob 2006. The First IEEE/RAS-EMBS International Conference on
Conference_Location
Pisa
Print_ISBN
1-4244-0040-6
Type
conf
DOI
10.1109/BIOROB.2006.1639254
Filename
1639254
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