February 2014
| No | Date | Title | Speaker | Presentation | Discussion |
| 1 | 2014-02-06 | Compressive Holography | Sangjun Park | (pdf) | (pdf) |
| A gabor hologram is to reconstruct a 3D object from measurements acquired at a detector. In this seminar, we introduce this gabor hologram and see a relation between the measurements and the 3D object. Then, we consider why compressive sensing can be applied to the gabor hologram | |||||
| 2 | 2014-02-20 | EEG-Based Emotion Recognition in Music Listening | Younghak Shin | ||
|
A framework was proposed to optimize EEG-based emotion recognition by systematically 1) seeking emotion-specific EEG features and 2) exploring the efficacy of the classifiers. Support vector machinewas employed to classify four emotional states (joy, anger, sadness, and pleasure) and obtained an averaged classification accuracy of 82.29% ± 3.06% across 26 subjects. |
|||||
| 3 | 2014-02-27 | Optical image encryption technique based on compressed sensing and Arnold transform | Nitin Rawat | (pdf) | |
| An optical image encryption method based on compressed sensing is proposed along with an Arnold transform and double random phase encoding. The system reduces the dimensions of the matrix by using CS and apply Arnold transform for scrambling the data. Further the shuffled image passed to the double random phase encoding process where the complexity is increased by two random phase functions. The experimental results demonstrate the system to be secure and robust. | |||||
December 2013
| No | Date | Title | Speaker | Presentation | Discussion |
| 1 | 2013-12-03 | A Head-Up Display-Based P300 Brain–Computer Interface for Destination Selection | Soogil Woo | (pdf) | (pdf) |
|
In this paper, they propose a P300 brain–computer interface (BCI) with visual stimuli presented on a head-up display and we apply this BCI for selecting destinations of a simulated vehicle in a virtual scene. To improve the usability of the selection system, we analyze the effects of the number of electroencephalogram (EEG) rounds on system performance. This paper lays a foundation for developing vehicles that use a BCI to select a desired destination from a list of predefined destinations and then use an autonomous navigation system to reach the desired destination. |
|||||
| 2 | 2013-12-10 | Some fundamental properties of speckle | Hwanchol Jang | (pdf) | |
|
A probabilistic modeling for speckle pattern is introduced. Ways to suppress the speckle pattern is also presented. |
|||||
November 2013
| No | Date | Title | Speaker | Presentation | Discussion |
| 1 | 2013-11-05 | Securing information by use of digital holography | Nitin Rawat | (pdf) | |
| An information security method that uses a digital holographic technique is proposed in this paper. An encrypted image is stored as a digital hologram. The decryption key is also stored as a digital hologram. The encrypted image can be electrically decrypted by use of the digital hologram of the key. This security technique provides secure storage and data transmission. Experimental results are presented to demonstrate the proposed method. | |||||
October 2013
| No | Date | Title | Speaker | Presentation | Discussion |
| 1 | 2013-10-08 | An auditory brain–computer interface evoked by natural speech | Younghak Shin | PPT | |
| In this study, they present a novel fully auditory EEG-BCI based on a dichotic listening paradigm using human voice for stimulation. This interface has been evaluated with healthy volunteers, achieving an average information transmission rate of 1.5 bits min−1 in full-length trials and 2.7 bits min−1 using the optimal length of trials, recorded with only one channel and without formal training. This novel technique opens the door to a more natural communication with users unable to use visual BCIs, with promising results in terms of performance, usability, training and cognitive effort. |
|||||
| 2 | 2013-10-15 | Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface | Evgenii | ppt | |
|
In this paper, they describe a study conducted to test the feasibility of using multichannel NIRS in the development of a BCI. They used a continuous wave 20-channel NIRS system over the motor cortex of 5 healthy volunteers to measure oxygenated and deoxygenated hemoglobin changes during left hand and right-hand motor imagery. They applied two different pattern recognition algorithms separately, Support Vector Machines (SVM) and Hidden Markov Model (HMM), to classify the data offline. SVM classified left-hand imagery from right hand imagery with an average accuracy of 73% for all volunteers, while HMM performed better with an average accuracy of 89%. Their results indicate potential application of NIRS in the development of BCIs.
|
|||||
| 3 | 2013-10-22 | A measurement-domain beamforming approach for ultrasound instrument based on distributed compressed sensing: initial development | Pavel Nee | ppt | |
| In this paper author applied distributed compressed sensing to ultrasound medical imaging and proposed Measurement-domain adaptive beamforming (MABF) to directly reconstruct ultrasound image without reconstructing transducer signals. | |||||
| 4 | 2013-10-29 | A novel BCI based on ERP components sensitive to configural processing of human faces | Seungchan Lee | (pdf) | |
| This study introduces a novel brain–computer interface (BCI) based on an oddball paradigm using stimuli of facial images with loss of configural face information (e.g., inversion of face). With the proposed novel paradigm, we investigate the effects of ERP components N170, VPP and P300 on target detection for BCI. An eight-class BCI platform is developed to analyze ERPs and evaluate the target detection performance using linear discriminant analysis without complicated feature extraction processing. The online classification accuracy of 88.7% and information transfer rate of 38.7 bits min−1 using stimuli of inverted faces with only single trial. | |||||
September 2013
| No | Date | Title | Speaker | Presentation | Discussion |
| 1 | 2013-09-10 | Digital Image information encryption based on compressive sending and double random phase encoding technique | Nitin Rawat | (pdf) |
|
| An image information encryption method based on compressive sensing and double random-phase encoding is proposed. Considering that natural image tends to be compressible in a transform domain, the characterstics of Compressive sensing, dimensional reduction and random projection, are utilized to sample or encrypt a digital image firstly. The double-encrypted information is dispersed and embedded into the host image. At the received terminal, original image information is reconstructed approximately via Orthogonal Matching Pursuit algorithm. | |||||
| 2 | 2013-09-24 | Sparsity driven ultrasound imaging Jin-Taek (pdf) | |||
| The framework involves the use of a physics-based forward model of the ultrasound observation process, the formulation of image formation as the solution of an associated optimization problem, and the solution of that problem through efficient numerical algorithms. The sparsity-driven, model-based approach estimates a complex-valued reflectivity field and preserves physical features in the scene while suppressing spurious artifacts. It also provides robust reconstructions in the case of sparse and reduced observation apertures. | |||||
August 2013
| No | Date | Title | Speaker | Presentation | Discussion |
| 1 | 2013-08-07 | Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI | Seung-Chan | (pdf) | |
| Multichannel EEG is generally used in brain–computer interfaces (BCIs). This paper proposes a novel sparse common spatial pattern (SCSP) algorithm for EEG channel selection. The proposed SCSP algorithm is formulated as an optimization problem to select the least number of channels within a constraint of classification accuracy. The proposed SCSP algorithm is evaluated using two motor imagery datasets, one with a moderate number of channels and another with a large number of channels. The proposed SCSP algorithm yielded an average improvement of 10% in classification accuracy compared to the use of three channels (C3, C4, and Cz). | |||||
| 2 | 2013-08-14 | Compressive Sensing in Photoaccoustic Tomography | Pavel Ni | ppt | |
| The data acquisition speed in photoacoustic computed tomography (PACT) is limited by the laser repetition rate and the number of parallel ultrasound detecting channels. Reconstructing an image with fewer measurements can effectively accelerate the data acquisition and reduce the system cost. We adapt compressed sensing (CS) for the reconstruction in PACT. CS-based PACT is implemented as a nonlinear conjugate gradient descent algorithm and tested with both phantom and in vivo experiments. | |||||
| 3 | 2013-08-21 | Toward Brain-Actuated Humanoid Robot: Asynchronous Direct Control Using an EEG-Based BCI | Soogil Woo | (pdf) | (pdf) |
| The brain–computer interface (BCI) technique is a novel control interface to translate human intentions into appropriate motion commands for robotic systems. The aim of this study is to apply an asynchronous direct-control system for humanoid robot navigation using an electroencephalograph (EEG), based active BCI. The experimental procedures consist of offline training, online feedback testing, and real-time control sessions. For the performance test, five healthy subjects controlled a humanoid robot navigation to reach a target goal in an indoor maze by using their EEGs based on real-time images obtained from a camera on the head of the robot. In experimental results, the subjects successfully controlled the robot in the indoor maze. | |||||
| 4 | 2013-08-28 | Temporal classification of multichannel near-infrared spectroscopy signals of motor imagery for developing a brain-computer interface | Evgenii | ||
|
In this paper, they describe a study conducted to test the feasibility of using multichannel NIRS in the development of a BCI. They used a continuous wave 20-channel NIRS system over the motor cortex of 5 healthy volunteers to measure oxygenated and deoxygenated hemoglobin changes during left hand and right-hand motor imagery. |
|||||