Browsing by Keywords "Classification rates"
Now showing items 1-4 of 4
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Extraction of target features using infrared intensity signals
(IEEE, 2005-09)We propose the use of angular intensity signals obtained with low-cost infrared (IR) sensors and present an algorithm to simultaneously extract the geometry and surface properties of commonly encountered features or targets ... -
Human activity recognition using inertial/magnetic sensor units
(Springer, Berlin, Heidelberg, 2010)This paper provides a comparative study on the different techniques of classifying human activities that are performed using body-worn miniature inertial and magnetic sensors. The classification techniques implemented and ... -
Separating nut-shell pieces from hazelnuts and pistachio kernels using impact vibration analysis
(IEEE, 2013)In this article nut-shell pieces are separated from pistachio kernels and hazelnut kernels using impact vibration analysis. Vibration signals are recorded and analyzed in real-time. Mel-kepstral feature parameters and line ... -
Target classification with simple infrared sensors using artificial neural networks
(IEEE, 2008-10)This study investigates the use of low-cost infrared (IR) sensors for the determination of geometry and surface properties of commonly encountered features or targets in indoor environments, such as planes, corners, edges, ...
