Fluid swarm formation control for hand gesture imitation by ellipse fitting

2015-03-19
The main focus of this reported work is to imitate human hand gestures in the presence of the organ matching problem. Towards this aim, a case where the imitator is a fluidic system is adopted, whose dynamics are totally different from the imitatee; that is, a human performing different hand gestures. Proposed is a fluidics formation control of fluid particles where the formations result from the imitation of observed human hand gestures. Fluid body motion is modelled in a particle-based approach by using smoothed particle hydrodynamics, which is the Lagrangian method for the simulation of fluid flows. A shape-based controller for human hand gestures imitation by using the ellipse fitting technique is introduced. With the help of this technique, a novel mapping method between the fluid and ellipse parameters is found. The fluid formation control layer is responsible for assigning the appropriate fluid parameters to the swarm in order to generate observed human hand gestures. Finally, the fluid particle formations are generated and these formations are demonstrated in a simulation environment.
ELECTRONICS LETTERS

Suggestions

Blind channel estimation via combining autocorrelation and blind phase estimation
Baykal, Buyurman (Institute of Electrical and Electronics Engineers (IEEE), 2004-06-01)
Symbol spaced blind channel estimation methods are presented which can essentially use the results of any existing blind equalization method to provide a blind channel estimate of the channel. Blind equalizer's task is reduced to only phase equalization (or identification) as the channel autocorrelation is used to obtain the amplitude response of the channel. Hence, when coupled with simple algorithms such as the constant modulus algorithm (CMA) these methods at baud rate processing provide alternatives to ...
Pole estimation for arbitrarily-shaped dielectric targets using genetic algorithm-based resonance annihilation technique
Sayan, Gönül; Kuzuoğlu, Mustafa (Institution of Engineering and Technology (IET), 2001-03-15)
The use of a genetic algorithm-based resonance annihilation technique to extract the interior poles of an arbitrarily shaped dielectric object with the ultimate purpose of target identification is proposed. The technique is demonstrated for a dielectric sphere with a very good agreement between the exact and extracted pole values.
Dynamic range enhancements in radio receivers by means of frequency retranslation
Nesimoglu, T.; Charalampopoulos, Z.; Warr, P. A.; Beach, M. A. (Institution of Engineering and Technology (IET), 2012-03-20)
In this study, a receiver architecture is presented that may be used for linearisation or for large signal interference suppression. In linearisation mode, an error signal that consists of intermodulation distortion products is obtained and used for predistorting the receiver. Experimental results demonstrate > 16 dB improvement of third-order input intercept point when used in a superheterodyne topology. When used in a direct conversion receiver topology, 7-dB improvement of second-order input intercept po...
MRI image enhancement using Biot-Savart law at 3 tesla
Esin, Yunus Emre; Alpaslan, Ferda Nur (The Scientific and Technological Research Council of Turkey, 2017-01-01)
Coil sensitivity is considered as the most valuable data in the parallel reconstruction of magnetic resonance imaging (MRI). In this study, a novel coil sensitivity map extraction method is introduced for spatially fixed phased array coils. The proposed technique uses the Biot-Savart law with coil internal shape information and low-resolution phase image data to form sensitivity maps. The performance of this method is tested in a parallel image reconstruction task, using the sensitivity-encoding (SENSE) tec...
Fast and accurate semiautomatic haptic segmentation of brain tumor in 3D MRI images
Latifi-Navid, Masoud; Bilen, Murat; Konukseven, Erhan İlhan; Doğan, Musa; Altun, Adnan (The Scientific and Technological Research Council of Turkey, 2016-01-01)
In this study, a novel virtual reality-based interactive method combined with the application of a graphical processing unit (GPU) is proposed for the semiautomatic segmentation of 3D magnetic resonance imaging (MRI) of the brain. The key point of our approach is to use haptic force feedback guidance for the selection of seed points in a bounded volume with similar intensity and gradient. For the automatic determination of a bounded volume of segmentation in real time, parallel computation on the GPU is use...
Citation Formats
U. TİLKİ and A. M. Erkmen, “Fluid swarm formation control for hand gesture imitation by ellipse fitting,” ELECTRONICS LETTERS, pp. 473–474, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/34595.