One of the key technologies for high-resolution camera is the analog front end (AFE) design, which is between the lens and image system process (ISP). The 2 major evaluations of AFE are to evaluate the noise and the ratio between the RGB pixels. Hence, based on the charge coupled device (CCD) image sensor, we present our proposed AFE design to evaluate the CCD noise of the output image with a lower dark current. Our proposed AFE board design is to employee the 1080p (1920×1080) CCD image sensor and its corresponding timing controller with the digital-analog converter (ADC). Our results indicate that our design has the high performance among 6 different digital brands in the low noise applications. Moreover, the CCD sensors with the different resolutions can be installed within the same socket of our AFE board, which can also simultaneously support 3 types, Bayer, Truesense, and Black/White, color filter array.
An unstable gait provides early warning of more serious conditions. In this study, we propose the use of pressure sensors embedded into a shoe pad along with a 3D accelerometer fastened to the knee. We have implemented a portable gait-measuring device integrated with a ZigBee wireless sensor network. Moreover, the step length, step speed, and step distance are easily calculated in the user interface. These data can then be used to distinguish the seven decision points of a complete gait cycle. Analysis of the gait cycle is done using fuzzy logic. The detected gait phases can be compared with standard gait parameters from the literature. Thus, the analyzed gait parameters can provide early detection of the emergence of an unstable gait. Finally, because our system measures knee flexion angle, it can detect the swing phase of the gait cycle.
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