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基于加速度传感器的运动步数检测算法研究 被引量:6
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作者 魏芬 邓海琴 《电子器件》 CAS 北大核心 2016年第5期1175-1179,共5页
为解决人体运动过程中手腕摆动对步数检测干扰的影响,提出了一种区域峰值步数检测算法。该算法根据人体运动时的加速度信号特征,使用高斯滤波去除噪声对加速度信号的影响,基于三轴合加速度数据采用区域峰值检测方法判定有效步伐,同时利... 为解决人体运动过程中手腕摆动对步数检测干扰的影响,提出了一种区域峰值步数检测算法。该算法根据人体运动时的加速度信号特征,使用高斯滤波去除噪声对加速度信号的影响,基于三轴合加速度数据采用区域峰值检测方法判定有效步伐,同时利用提取的加速度信号幅值的变化量作为特征值,准确实现了稳定状态下的跑步、走路两种动作的自动识别,并根据人体不同的运动状态自动调整采样速率,有效降低了系统功耗。实验结果表明,区域峰值算法相比于动态阀值和单一峰值的算法具有更高的步数检测精确度,可达到95%以上。 展开更多
关键词 传感器应用 步数检测 信号矢量幅值 区域峰值检测 加速度传感器
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Characteristics of Clustering Debris Flows in Wenchuan Earthquake Zone 被引量:3
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作者 MA Chao HU Kai-heng +1 位作者 ZOU Qiang TIAN Mi 《Journal of Mountain Science》 SCIE CSCD 2013年第6期953-961,共9页
Clustering debris-flow events, namely many debris flows simultaneously triggered by a regional rainstorm in a large-scale mountainous area,occurred in four regions of Wenchuan earthquake stricken areas in 2008 and 201... Clustering debris-flow events, namely many debris flows simultaneously triggered by a regional rainstorm in a large-scale mountainous area,occurred in four regions of Wenchuan earthquake stricken areas in 2008 and 2010. The characteristics of the clustering debris flows are examined with regard to triggering rainfall, formation process, and relationship with the earthquake by field survey and remote sensing interpretation. It is found that the clustering events occurred nearly at the same time with the local peak rainstorms, and the rainfall intensity-duration bottom limit line for clustering debris flows is higher than the worldwide line. It means that more rainfall is needed for the occurrence of the clustering debris flows. Four kinds of major formation processes for these debris flows are summarized: tributary-dominated, mainstreamdominated, transformation from slope failures, and mobilization or liquefaction of landslide. The four regions has a spatial correlation with the strongquake-influenced zone with the peak ground acceleration = 0.2 g and the seismic intensity > X. 展开更多
关键词 Clustering debris flows Wenchuanearthquake Rainfall threshold Formation process
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一种基于亮度直方图的自动曝光控制方法 被引量:47
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作者 杨海涛 常义林 +1 位作者 王静 霍俊彦 《光学学报》 EI CAS CSCD 北大核心 2007年第5期841-847,共7页
自动曝光控制是现代相机和摄像机必备功能之一。提出一种基于亮度直方图的自动曝光控制算法。基于人类视觉系统(HVS)的视觉注意机制,可认为直方图中大而陡峭的峰值区域对应于图像中的不感兴趣区域。算法寻找直方图中最大的两个峰值区域... 自动曝光控制是现代相机和摄像机必备功能之一。提出一种基于亮度直方图的自动曝光控制算法。基于人类视觉系统(HVS)的视觉注意机制,可认为直方图中大而陡峭的峰值区域对应于图像中的不感兴趣区域。算法寻找直方图中最大的两个峰值区域,并依据峰值区域的大小确定它们中像素亮度的加权值,从而计算图像的加权亮度均值。像素亮度的加权值与其所属峰值区域的大小之间的关系由一组二次型曲线描述,二次型曲线的参量是由图像的背景亮度决定,其中背景亮度由自动曝光系统参量计算得到。在实际应用中采用了模糊逻辑确定最大的两个峰值区域的加权值。实验结果表明该算法对各种场景均能进行有效的自动曝光控制。 展开更多
关键词 图像信号处理 自动曝光控制 亮度直方图 峰值区域 加权曲线 模糊逻辑
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Colored 3D surface reconstruction using Kinect sensor 被引量:1
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作者 郭连朋 陈向宁 +1 位作者 陈颖 刘彬 《Optoelectronics Letters》 EI 2015年第2期153-156,共4页
A colored 3D surface reconstruction method which effectively fuses the information of both depth and color image using Microsoft Kinect is proposed and demonstrated by experiment.Kinect depth images are processed with... A colored 3D surface reconstruction method which effectively fuses the information of both depth and color image using Microsoft Kinect is proposed and demonstrated by experiment.Kinect depth images are processed with the improved joint-bilateral filter based on region segmentation which efficiently combines the depth and color data to improve its quality.The registered depth data are integrated to achieve a surface reconstruction through the colored truncated signed distance fields presented in this paper.Finally,the improved ray casting for rendering full colored surface is implemented to estimate color texture of the reconstruction object.Capturing the depth and color images of a toy car,the improved joint-bilateral filter based on region segmentation is used to improve the quality of depth images and the peak signal-to-noise ratio(PSNR)is approximately 4.57 d B,which is better than 1.16 d B of the joint-bilateral filter.The colored construction results of toy car demonstrate the suitability and ability of the proposed method. 展开更多
关键词 COLOR Color image processing Image processing Image segmentation Rendering (computer graphics) Signal to noise ratio
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