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Measuring attention from electroencephalogram (EEG) has found applications in the treatment of Attention Deficit Hyperactivity Disorder (ADHD). It is of great interest to understand what features in EEG are most representative of attention. Intensive research has been done in the past and it has been proven that frequency band powers and their ratios are effective features in detecting attention....
In this paper, we present a multi-scale approach based on superpixel classification for optic cup localization. Our approach provides 3 major contributions. First, a contrast enhancement scheme is proposed to reduce illumination influence and enhance feature discrimination. Second, features are extracted from multiple superpixels scales for richer description of the optic cup. Third, a unique cup...
In this paper, we present an unsupervised framework using domain priors extracted from the primary structures of the optic nerve head for automated optic cup localization. Our approach provides 3 major contributions. First, we identify a new domain prior, optic cup origin. This prior is derived from the physiological understanding that the central retinal vessels traces its origin from the optic cup...
In this work, we propose a connectionist memory structure for spatio-temporal sequence learning and recognition inspired by the Long-Term Memory structure of human cortex. Besides symbolic data, our framework is able to continuously process real-valued multi-dimensional data stream. This capability is made possible by addressing three critical problems in spatio-temporal learning, namely error tolerance,...
This paper proposes a neural network structure for spatio-temporal learning and recognition inspired by the long-term memory (LTM) model of the human cortex. Our structure is able to process real-valued and multidimensional sequences. This capability is attained by addressing three critical problems in sequential learning, namely the error tolerance, the significance of sequence elements and memory...
A simple generic motion detection scheme suitable for use in gestural interfaces (GI) embedded with an accelerometer and is wirelessly connected to a PC is proposed. It consists of three processes, namely motion decomposition, wireless communication and motion pattern matching. Motion decomposition is performed within the GI on the human gestures to generate sequences of motion directions. Translational...
This paper tackles the problem of detecting the swinging action of an electronic handbell. It describes a threshold-based algorithm that is able to detect an orientation-free swinging motion using only the X and Y axis signals of an accelerometer that is mounted at the end of a handle. Equations governing the accelerations of the accelerometer are defined. The equations are used to select the appropriate...
Interactive audio streaming over wireless network is usually carried out over high bandwidth wireless channels and is implemented using computationally well-resourced devices. This paper describes two basic design configurations for interactive audio streaming on a handheld controller that communicates with a host PC over a low data rate wireless network and operates under low power and processing...
The exploratory visualization of 3D data sets or multiple axis motion control of a monitoring camera mounted on a six-axis robot often require the user to control the viewing orientation and position of a camera view within a 3D space. This paper describes the design of an inertial motion sensing system, which uses only accelerometers to provide interactive 3D control of both orientation and position...
In this paper, we present a novel biologically-inspired spatio-temporal sequence learning architecture of visual place cells to leverage autonomous navigation. The construction of the place cells originates from the well-known architecture of Hubel and Wiesel to develop simple to complex features in ventral stream of the human brain. To characterize the contribution of each feature towards scene localization,...
The advancement of technology in recent decades has brought computing beyond the desktop computer. With the focus on portable and interactive devices, it is necessary to equip the next generation of engineers with the necessary programming skills and a robust set of tools to create a wider range of applications. In the School of Computer Engineering at Nanyang Technological University (NTU), Singapore,...
In early 2003, the Singapore Economic Development Board identified Embedded Systems as a major 'new growth area' for the Singapore economy, building upon the existing infrastructure of technological companies, and proven ability for companies both local and overseas, to conduct advanced research and development, as well as specialist production, in Singapore. In response to this, Nanyang Technological...
This paper describes the considerations taken in designing cost effective embedded processor development kits to support the take-home self-practice pedagogical strategy. Since each student is issued with such a take-home development kit, special design considerations were given to the choice of processor, the on-board peripheral support, the mode of software development and the development tool support...
This paper describes a parametric approach for demodulating multicomponent AM-FM sinusoidal signals. The parametric model consist of several truncated power series whose coefficients are estimated using linear least-square minimisation cast within an iterative parameter-substitution framework. It is shown that the proposed technique for AM-FM estimation is relatively robust to background noise compared...
This paper presents a novel human-computer interface for projector/camera-based applications that uses a deformable interaction surface. We discuss its design and implementation within the context of a radically different approach for controlling home appliances by pressing virtual buttons that are projected on soft deformable surfaces such as a sofa pillow. Effective real-time computer vision algorithms...
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