The objective of the paper is to develop multilevel multisensor based decision fusion principles for the application of intelligent animal robot. This paper presents the design and implementation of a four-legged animal robot. The animal robot’s head, body, and legs were constructed using aluminum material. Control/decision unit, driver unit and sensory unit were designed for the control of the...

Studying the performance of multisensor tracking systems against maneuvering targets involves Monte Carlo simulations with the tracking algorithms implemented in a sophisticated computer simulation of the multisensor system [2], [1]. However, a simplified method for predicting the performance of a multisensor tracking system against maneuvering targets is needed to confirm the results of comput...

Multisensor image fusion is a process of combining or amalgamating information from multiple sensors. It has been applied to a wide variety of fields such as navigation, military surveillance, remote sensing, medical diagnosis, industrial process control and measurement, intelligent robot, and law enforcement. In this paper, the basic concept, advantage, general structure, methods, applications...

BACKGROUND AND PURPOSE Current means of assessing physical activity and energy expenditure have restrictions in stroke, limiting our understanding of its role in therapeutic management. This study validates a portable multisensor array for measuring free-living total energy expenditure compared with a gold standard method (doubly labeled water) in individuals with stroke. METHODS Daily energy...

E, and Mariton, M. (1991) Tracking a 3-D maneuvering target with passive sensors. IEEE Transactions on Aerospace and Electronic System, (1991), 725-739. [17] Vacher, P., Barret, I., and Gauvrit, M. (1992) Design of a tracking algorithm for an advanced ATC system. In Y. Bar-Shalom (Ed.), Multitarget-Multisensor Tracking: Applications and Advances, Vol. 11. Dedham, M A Artech House, 1992,l-29. [1...

This paper presents a novel feature extraction scheme taking advantage of both the nonlinear modulation speech model and the spatial diversity of speech and noise signals in a multisensor environment. Herein, we propose applying robust features to speech signals captured by a multisensor array minimizing a noise energy criterion over multiple frequency bands. We show that we can achieve improve...

The methods of multi-DOF actuator orientation detection based on machine vision and magnetic field sensor and neural network based multisensor fusion are presented in this paper. Special grid pattern is printed on the surface of rotor according to the pseudo-random encoder for the camera capturing the image of the rotor. The magnetic field sensors are adopted and properly placed circling the sh...