Wireless sensor network (WSN) of active sensors suffers from serious inter-sensor interference (ISI) and imposes new design and implementation challenges. In this paper, based on the ultrasonic sensor network, two time-division based distributed sensor scheduling schemes are proposed to deal with ISI by scheduling sensors periodically and adaptively respectively. Extended Kalman filter (EKF) is...

Automated tracking of animal movement allows analyses that would not otherwise be possible by providing great quantities of data. The additional capability of tracking in real time--with minimal latency--opens up the experimental possibility of manipulating sensory feedback, thus allowing detailed explorations of the neural basis for control of behaviour. Here, we describe a system capable of t...

Fast natural feature tracking is essential to make markerless augmented reality applications practical on low performance mobile devices. To speed up the natural feature tracking process which includes computationally expensive procedures, we propose a novel fast tracking method using optical flow aimed for mobile augmented reality applications. Experimental results showed that the proposed met...

Abstract—Our goal is to utilize microorganisms as micro-robots by using galvanotaxis (locomotor response to electrical stimulus). To reach this goal, motion control in three-dimension must be achieved. Our group has proposed a novel three-dimensional tracking system incorporating the Depth-From-Diffraction method, the lock-on tracking and high-speed vision. In this paper, we control the motion ...

We have examined the kinematics of the initial trajectory of step-tracking movements performed by human subjects. Each subject tracked a target that required 5-30 degrees of radial or ulnar deviation of the wrist. All movements were to be performed as accurately as possible. Speed instructions were given before each trial. When subjects performed different amplitude movements following the same...

Tracking bolus peak position is a crucial issue for computed tomography angiography(CTA). In this paper, a local maximum tracking method is proposed and tested using real patient data. The method uses a second order polynomial to approximate bolus density function locally. By estimating the local maximum density position at next sampling time, bolus peak trajectory is closely followed. Experime...

Abstract : This paper proposes a speed tracking control of induction motors based on the inpuVoutput linearization method, which can also achieve the maximal power transfer. A simple group of observers are designed to estimate the rotor flux in order to determine the orientation of rotor flux. The control law of the maximal power transfer to the rotor gives the relationship between the stator v...

To examine whether visual attention shifts continuously across the visual field, we measured sensitivity to a small flash presented at various locations while the observer was tracking a moving target in an ambiguous apparent motion display. The sensitivity peaked near the target and the peak shifted smoothly along the apparent motion path. Since the peak-shift speed varied with the speed of th...

A robust control approach is proposed for a high speed manipulator using a hybrid computed torque control approach in the state space. The high-speed manipulator is driven by permanent magnet dc motors to track a trajectory in the joint space in the presence of disturbances. Tracking problem is analyzed in the state space where the completed models are considered for actuators. The proposed con...

This paper proposes a model-based iterative learning control algorithm for time-varying systems with a high convergence speed. The convergence of components of the tracking error can be controlled individually with the algorithm. The convergence speed of each error component can be maximised unless robustness for noise or unmodelled dynamics is needed. The learning control algorithm is applied ...