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gait 步态识别算法代码
- 步态识别算法代码，对多种识别算法予以实现，以及一些论文上提到方法的测试程序。-Gait recognition algorithm code for a variety of recognition algorithms to be realized, as well as some papers on the method of testing procedures mentioned.
GaitExtractToolbox14
- Gait extraction toolbox which is used in matlab abd very useful for human activity recognition
RecordAudio
- 这个程序能检测到人的活动，并对人的肢体动作进行分析，进而谱写旋律进行作曲。值得研究-This procedure can detect human activity, and analysis of human body movements, and then write a melody for composition. Worthy of study
VAD
- 本资料主要是一些语音端点检测相关的比较好的论文，语音端点检测又称语音激活检测，这些资料有很多不同的方法，希望对于语音端点检测的人会有很大的帮助-This information is mainly related to the endpoint detection of some good papers, voice activity detection, also known as voice activity detection, these data have many different
Advances-in-Human-Motion-Analysis
- 人体运动视觉分析主要包括运动目标检测、 运动 目标分类 、 人体运动跟踪、 人体行为识别与描述四个环 节 ， 在多领域具有广阔的应用前景． 本文从上述四个方面综述了人体运动分析的研究现状， 对人体运动分析的热点 难点进行讨论 ， 对可能的发展方向进行阐述和展望．-Visual analysis includes moving object detection,moving object classfication,human tracking and activity recogni
Machine.Learning.Vision-Based.Motion
- 本书从机器学习的角度介绍了基于视觉的运动分析领域的最新算法和系统。-Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visua
fasong
- mega16通过nrf905将DS18B20检测的温度值及是否有人体活动的信息发送给接收端-mega16 by nrf905 will DS18B20 temperature detection value and whether human activity information is sent to the receiver
ecg-different-noise
- ECG is the graphical recording of the electrical activity of the heart and recognized biological signal used for clinical diagnosis. The ECG signal is very sensitive in nature, and even if small noise mixed with original signal the various characteri
SensorData
- 人体运动行为 android 加速度，方强传感器 数据采集程序，支持采样速度调整，行为选择，位置选择-human motion activity, android accelerator ,oritantion collector,support adjustment of collect rate,action and position that place
FreeIMU_Processing_20110724_1448
- The main application of FreeIMU is orientation sensing: by reading the data from the various sensors is possible to compute precisely the orientation of FreeIMU in the space. Recent boards also feature an high resolution barometer allowing to precise
tiaowugengzong
- 很好用的关于人体跟踪的程序，可以识别人出静止背景前的人体活动-Good use of the program on human tracking, human activity can identify people out in front of a stationary background
Human-Activity-Recognition
- In this programe, a four-dimensional spatiotemporal shape context descr iptor is introduced and used for human activity recognition in video
Skeleton_Code
- skeleton based human activity recognition
Knntest
- This a knn test file, used for human activity recognition, the knn is based on matlab knn algorithm.-This is a knn test file, used for human activity recognition, the knn is based on matlab knn algorithm.
SOA
- 人群搜索算法（SOA , Seeker Optimization Algorithm）是基于人类的社会生活习惯，模拟人类搜索活动的智能行为的一种新的基于种群的启发式随机搜索算法。 -People search Algorithm (SOA, Seeker Optimization Algorithm) is based on human social life habit, simulation of the intelligent human search activity of a ki
fcd5
- Electrical activity in the normal human heart is initiated when a cardiac action potential arises in the Sino atrial (SA) node, which is located in the right atrium. From there, the electrical stimulus is transmitted via inter-nodal pathways to the a
TGAM
- 脑电波技术原理简介TGAM芯片原理,神经产生脑电波 人的大脑是由数以万计的针尖大小的神经交错构成的。神经相互作用时，脑电波模式就表现为思维状态，像是计算数学时的专注等情绪状态。人的大脑平均每天产生7万个想法。而且，每次神经活动时都会产生轻微的放电，放出的电通过脑电波技术（医学上称为脑电图）就可以测量得到。单个神经产生的放电是很难从头皮外测量到的。但是许多神经共同放电产生的集体电波是可以测量得到的。因此，我们测量到的大脑状态是由许多神经共同放电产生的集体神经活动决定的。(The pri
温度
- 体温是生命活动的一种体现，是人体新陈代谢的一个重要生理参数。它以AT89C51单片机为核心，结合温度传感器等外部设备，在软件的控制下，实现智能的体温测量。当温度高于38度时，报警器就报警，以此来引起人们的注意。(Body temperature is a manifestation of life activity and an important physiological parameter of human metabolism. It takes AT89C51 microcontrol
deep-learning-HAR-master
- 一份用tensorflow平台做的cnn分类时序信号，是分类UCI 项目中的人体活动识别（HAR）数据集。该数据集包含原始的时序数据和经预处理的数据（包含 561 个特征）(A CNN classification timing signal made by tensorflow platform is a human activity recognition (HAR) dataset in the classified UCI project. The dataset contains or
LSTM-Human-Activity-Recognition-master
- 与经典的方法相比，使用具有长时间记忆细胞的递归神经网络(RNN)不需要或几乎不需要特征工程。数据可以直接输入到神经网络中，神经网络就像一个黑匣子，可以正确地对问题进行建模。其他研究在活动识别数据集上可以使用大量的特征工程，这是一种与经典数据科学技术相结合的信号处理方法。这里的方法在数据预处理的数量方面非常简单(Compared with the classical methods, the recursive neural network (RNN) with long-term memory