DocumentCode :
3420575
Title :
Cutting quality of kitchen knives: an application of sensor fusion to the analysis
Author :
Takatsuji, Toshiyuki ; Tanaka, Ken-ichi
Author_Institution :
Nat. Res. Lab. of Metrol., AIST, Ibaraki, Japan
fYear :
1992
fDate :
9-13 Nov 1992
Firstpage :
1571
Abstract :
Regression analysis is examined as a data integration technique for sensor fusion. Using experimental design, the effect of each explanatory variable on response variables is obtained independently, and when interactions are expected to exist, the effects can be calculated. An experiment on the quantification of sensor characteristics measured by sensor evaluation was carried out. The cutting quality of kitchen knives was considered as an example of sensory characteristics. It was found that the most significant factors influencing cutting quality are the angle of the cutting edge and the roughness of the side surface of the cutting edge
Keywords :
sensor fusion; statistical analysis; cutting edge; cutting quality; data integration; kitchen knives; quantification; regression analysis; response variables; roughness; sensor fusion; Design for experiments; Equations; Laboratories; Metrology; Performance analysis; Regression analysis; Robot control; Robot sensing systems; Sensor arrays; Sensor fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0582-5
Type :
conf
DOI :
10.1109/IECON.1992.254366
Filename :
254366
Link To Document :
بازگشت