Smart Sensor, Smart Chair, Can it Predicts Your Sitting Posture?

Author

Li, Yue ; Aissaoui, Rachid

Author_Institution

Dept. of Autom. Manuf. Eng., Ecole de Technol. Superieure

Volume

4

fYear

2006

fDate

9-13 July 2006

Firstpage

2754

Lastpage

2759

Abstract

The main objective of this study is the application of body-seat interface shape and pressure measurements for the prediction of seating posture, such as trunk flexion angle and pelvic rotation angle. To investigate the relationship between pressure and interface shape and seating posture, 16 wheelchair users were recruited to sit in a wheelchair simulator. During seating, body pressure distribution and interface shape as well as their posture were measured. Using linear regression model, trunk, pelvic and thigh seating postures can be predicted with considerable accuracy based on interface shape and pressure information. Since pressure distribution and interface shape data provided quantitative and objective indices in measuring seating posture, the proposed method can be used for more effective wheelchair or automobile seating design and evaluation

Keywords

handicapped aids; intelligent sensors; regression analysis; seats; automobile seating design; body pressure distribution; body-seat interface shape; linear regression model; pelvic rotation angle; pressure distribution; pressure measurements; smart chairs; smart sensors; trunk flexion angle; wheelchair simulator; Accuracy; Automobiles; Intelligent sensors; Linear regression; Predictive models; Pressure measurement; Recruitment; Shape measurement; Thigh; Wheelchairs;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2006 IEEE International Symposium on

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0496-7

Electronic_ISBN

1-4244-0497-5

Type

conf

DOI

10.1109/ISIE.2006.296050

Filename

4078826