Error analysis of line of sight estimation using Purkinje images for eye-based Human-Computer Interaction: HCI is conducted. Double Purkinje images which are obtained by two points of light sources are used in the proposed method for eye rotation angle estimation. It aimed at the improvement of the eyeball rotation angle accuracy by simply presuming the value of the curvature radius of the corn...

A case is described of malignant glaucoma with extreme shallowing of the anterior chamber (AC) and an abnormally high intraocular pressure (IOP) following laser iridotomy for acute angle closure glaucoma. The episode followed the use of strong miotic (pilocarpine hydrochloride 4%) and was reversed by mydriatics including phenylephrine hydrochloride. Serial estimation of anterior chamber depth i...

This paper introduces a novel method for slip angle estimation based on visually observing the traces produced by the wheels of a robot on soft, deformable terrain. The proposed algorithm uses a robust Hough transform enhanced by fuzzy reasoning to estimate the angle of inclination of the wheel trace with respect to the vehicle reference frame. Any deviation of the wheel track from the planned ...

This paper presents a robust control approach to control the movement of a prosthetic hand based on an estimation of the finger angles using surface electromyographic (sEMG) signals. All the available prosthesis uses the motion control strategy which is pre-programmed get initiated when some threshold value of the measured sEMG signal is reached for a particular motion set. Here we use a novel ...

ALYSIS OF ESPRIT BASED JOINT ANGLE-FREQUENCY ESTIMATION A weke N. Lemma , Alle-Jan van der Veen and Ed F. Deprettere Delft University of Technology, Faculty of Information Technology Mek elweg 4, 2628 CD Delft, The Netherlands [email protected] ABSTRACT High-resolution parameter estimation techniques have recently been applied to jointly estimate multiple signal parameters. In this work,...

In this paper, an improved azimuth angle estimation method with a single acoustic vector sensor (AVS) is proposed based on matched filtering theory. The proposed method is mainly applied in an active sonar detection system. According to the conventional passive method based on complex acoustic intensity measurement, the mathematical and physical model of this proposed method is described in det...

—This paper proposes a novel algorithm of parameter dynamic estimation in near-field Bistatic Multiple-Input Multiple-Output (MIMO) Radar. When a target lies in the nearfield region, the near-field wavefront is spherical, and the plane waves assumption is no valid. The existing methods and signal model based on the far-field assumption are not applicable to this situation. In this paper, we pr...

This paper deals with an improved use of phasor measurements. In particular, the paper focuses on the development of a technique for estimation of generator rotor angle and speed, based on phasor measurement units, for transient stability assessment and control in real-time. Two multilayered feed-forward artificial neural networks are used for this purpose. One for the estimation of rotor angle...

In this research we present a Kalman filtering-based motion state estimation method for an autonomous vehicle-trailer system by fusing multiple sensor data, which can be applied directly to autonomous navigation and motion control. The autonomous vehicle-trailer system consists of an autonomous vehicle and a passive trailer which are coupled by a trailer hitch. Our vehicle-trailer system is equ...

Computational sound localisation using binaural microphones requires accurate Interaural Time Difference (ITD) estimation in order to infer an angle of incidence. The Phase Transform weighting function, used in generalized cross correlation calculations for microphone arrays is investigated here for application to ITD estimation in binaural head recordings. Empirical measurements using the meth...