Real time sensing of localized electrophysiological and neurochemical signals associated with spontaneous and evoked neural activity is critically important for understanding neural networks in the brain. Our goal is to enhance the functionality and flexibility of a neural sensing and stimulation system for the observation of brain activity that will enable better understanding from the level of individual cells to that of global structures. We have thus developed a miniaturized electronic system for in-vivo neurotransmitter sensing and optogenetic stimulation amenable to behavioral studies in the rat. The system contains a potentiostat, a data acquisition unit, a control unit, and a wireless data transfer unit. For the potentiostat, we applied embedded op-amps to build single potential amperometry for electrochemical sensing of dopamine. A light emitting diode is controlled by a microcontroller and pulse width modulation utilized to control optogenetic stimulation within a sub-millisecond level. In addition, this proto-typed electronic system contains a Bluetooth module for wireless data communication. In the future, an application-specific integrated circuit (ASIC) will be designed for further miniaturization of the system.
This paper describes a monocular PSD-based motion capture sensor to employ with commercial video game systems
such as Microsoft's XBOX and Sony's Playstation II. The system is compact, low-cost, and only requires a one-time
calibration at the factory. The system includes a PSD(Position Sensitive Detector) and active infrared (IR) LED markers
that are placed on the object to be tracked. The PSD sensor is placed in the focal plane of a wide-angle lens. The micro-controller
calculates the 3D position of the markers using only the measured intensity and the 2D position on the PSD. A
series of experiments were performed to evaluate the performance of our prototype system. From the experimental
results we see that the proposed system has the advantages of the compact size, the low cost, the easy installation, and
the high frame rates to be suitable for high speed motion tracking in games.
To develop the head mounted visual enhancement device (HMVED), we have suggested five methods for visual acuity enhancement such as image magnification, effects of viewing axis control, wavelength control of light source, and effects of power control of light source and focal length control. In addition, the mobility and convenience of the HMVED should be considered. The HMVED consists of a 0.44" high quality TFT Color LCD (active dots: 800(H)×225(V)), a magnifier lens, a TFT color LCD back light, a prism and a diopter lens. The LCD is used to display the magnified image by a magnifying lens. The backlight can be controlled by the intensity and color light source. The prism can refract the viewing axis. The basic clinical experiments of the HMVED have been performed at Low Vision Device Company in Korea. The results show beneficiary effects on people with low vision.
Motion tracking method is being issued as essential part of the entertainment, medical, sports, education and industry with the development of 3-D virtual reality. Virtual human character in the digital animation and game application has been controlled by interfacing devices; mouse, joysticks, midi-slider, and so on. Those devices could not enable virtual human character to move smoothly and naturally. Furthermore, high-end human motion capture systems in commercial market are expensive and complicated. In this paper, we proposed a practical and fast motion capturing system consisting of optic sensors, and linked the data with 3-D game character with real time. The prototype experiment setup is successfully applied to a boxing game which requires very fast movement of human character.
The minimum spanning tree (MST) matching algorithm has been used for searching the partial matching points extracted from fingerprint images. The method, however, has some limitations. To obtain the relationship between the enrolled fingerprints and the input fingerprints the MST is used to generate the tree graph that represents the unique graph for the given minutiae. From the graph, the matching points are estimated. However, the shape of the graph highly depends on the positions of the minutiae. If there are some pseudo minutiae caused by noise, the shape of the graph will be totally different. To overcome the limitations of the MST, we propose the center of rotation method (CRM) that finds true partial matching points. The proposed method is based on the assumption that the input fingerprint minutiae are rigid body. In addition, we employ the polygon wrapping the minutiae for fast matching speed and reliable matching results. In conclusion we have been able to confirm fast performance and high identification ratio by using CRM.
12 This paper deals with the non-contact optical sensor to measure the shape and the thickness of transparent plates such as glass panel of LCD (Liquid Crystal Display). The conventional methods to obtain the shape or thickness of transparent plates are contact type sensor such as LVDT (Linear Variable Differential Transformer). Due to the contact between the tip of the sensor and the surface of objects, the tip is abraded. In addition the casting glass under high temperature results in extending the size of sensor body. The accuracy of the sensor is degraded due to these reasons. In this paper, to overcome these problems, we proposed a low cost non-contact optical sensor that is composed of a hologram laser unit used for optical pickup of CD player and a plastic lens. To evaluate the performance of the proposed optical sensor, a series of experiments were performed for various measurement conditions. Based upon observation of the experimental results, the proposed sensor shows a good performance in measuring the shape of transparent plates.
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