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[
Special Effects
]
gesture-system
DL : 0
目前已有的手部运动跟踪系统大多在一定程度上限制了人体运动自由. 基于此, 提出一种无线、 可穿戴、 无障碍的腕关节、 指关节运动跟踪系统. 在人体每个手指甲上粘贴一轻小永磁体, 用以产生标示腕关节、指关节运动的信号 若干磁传感器置于手腕处的电子腕带上, 作为标示信号( 磁信号) 检测器. 当腕关节、 指关 节运动时, 永磁体在各传感器所在位置处的合成磁场发生变化, 传感器对该磁场信号进行测量, 所检测到的磁场信号送入手部姿势估计器, 估计器基于系统数学模型计算手部姿势, 从而实现对手部运动的跟踪.-Most of the existing hand movement tracking system to a certain extent limited the freedom of human motion. This paper presents a wireless, wearable, accessible wrist, knuckles motion tracking system. In each fingernail on the human body Paste a light small permanent magnet to produce marked the wrist, referring to the signal of the joint movement the number of magnetic sensors placed in the wrist at the electronic wristband, as marked signal (magnetic signal) detector. when the wrist, knuckles campaign , the permanent magnet in the magnetic field of the sensor location at changes in the sensors of the magnetic signal measurement, the detected magnetic field signal sent from the start with the Ministry of posture is estimated, the estimator based on the mathematical model to calculate the hand position in order to achieve of hand movement tracking.
Date
: 2026-01-08
Size
: 1.58mb
User
:
liushoubao
[
Special Effects
]
zuizhongdeshishishibie
DL : 0
基于视觉的人体姿态的识别,包括识别的程序和说明doc,能识别8种静态人体姿态,准确率达90 以上-Based the visual human gesture recognition, including recognition of procedures and instructions doc can identify eight kinds of static body posture, the accuracy rate of 90 or more
Date
: 2026-01-08
Size
: 20kb
User
:
kankan
[
Special Effects
]
Optimization-for-Multi-Limb-
DL : 0
如果大家有用过kinect做开发,不管是使用kinect SDK还是使用OpenNI,估计都对这些库提供的人体骨骼跟踪技术有一定的好奇,心里在想,每个人穿的衣服不同,身体特点也不同,所处的环境不同,且走路或做手势时的姿势也不相同,竟然能够跟踪人体的骨架,且效果不错。那么上面的Kinect SDK和OpenNI提供给kinect开发的核心算法——人体骨架跟踪到底是怎么实现的呢?-If everyone used kinect development to do, whether it is using the the kinect SDK or use OpenNI These libraries provide the human skeleton tracking technology curiosity and thought to myself, everyone wearing different clothes, different physical characteristics, the at the different environments, and is not the same posture when walking or gesturing, and even be able to track the skeleton of the human body, and the effect is good. Above Kinect SDK and the OpenNI provided to the core algorithm kinect developed- human skeleton track in the end is how to achieve it?
Date
: 2026-01-08
Size
: 1.44mb
User
:
wuwei
[
Special Effects
]
PartsBasedDetector-master
DL : 0
人体姿势识别 可以识别出人体的14个节点 连接节点然后得出姿势图- 人体姿势识别 可以识别出人体的14个节点 连接节点然后得出姿势图 Human body posture recognition can identify the body of the 14 nodes connected to the node and then draw a picture
Date
: 2026-01-08
Size
: 184kb
User
:
hongfang
[
Special Effects
]
HBR_platform_matlab
DL : 0
人体行为识别,姿势包括跑步,打太极,行走,蹲着,具体很好的识别率-Identification of human behavior, including running posture, tai chi, walking, squatting, particularly good recognition rate
Date
: 2026-01-08
Size
: 9.24mb
User
:
郭俊杰
[
Special Effects
]
test
DL : 0
该方法利用人脸具有镜像对称的自然特性,依据奇偶分解原理,生成成镜像奇、偶对称样本,井利用人脸对称图像作为训练样本,再利用主分量分析(PCA)对训练样本进行二阶相关和降维处理,然后对处理后的样本进行ICA特征提取。理论和分析实验证明,该算法有效减线了人脸受到视角、光照、人脸表情、姿势变化等因素的最响,又增加了训练样本容量,减少了计算复杂度,同时有效解决了小样本问题,提高了识别率.(The method uses the natural characteristics of mirror symmetry of human face, generates mirror odd and even symmetrical samples according to the principle of parity decomposition, uses the symmetrical images of human face as training samples, then uses principal component analysis ( PCA ) to carry out second-order correlation and dimensionality reduction processing on the training samples, and then carries out ICA feature extraction on the processed samples. Theoretical and analytical experiments show that the algorithm can effectively reduce the face by the angle of view, lighting, facial expressions, posture changes and other factors, and increase the capacity of training samples, reduce the computational complexity, and effectively solve the problem of small samples, improve the recognition rate.)
Date
: 2026-01-08
Size
: 3.91mb
User
:
廊下青衫
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