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Human Activity Recognition using CNN in Keras This repository contains the code for a small project. The aim of this project is to create a simple Convolutional Neural Network (CNN) based Human Activity Recognition (HAR) system. This system uses the sensor data from a 3D accelerometer forx,y...
Human Activity Recognition using CNN in Keras This repository contains the code for a small project. The aim of this project is to create a simple Convolutional Neural Network (CNN) based Human Activity Recognition (HAR) system. This system uses the sensor data from a 3D accelerometer for x,...
为了解决传统机器学习算法对特征提取的困难以及相似动作给分类识别带来的混淆性,本发明提出了一种基于改进LSTM‑CNN的多尺寸输入HAR算法。该算法将优化的CNN卷积神经网络和多层双向动态LSTM长短时记忆网络融合对HAR人体行为活动进行识别。包括多尺寸输入、模型分类识别。所述多尺寸输入将数据进行降噪、均值‑方差归一化、...
In this work, we present an automatic architecture, AUTO-HAR, for human action recognition by designing an optimized CNN architecture. The proposed architecture is illustrated in Fig. 1. The framework consists of four main phases. The process starts with parameter identification, design of the CNN...
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为了解决传统机器学习算法对特征提取的困难以及相似动作给分类识别带来的混淆性,本发明提出了一种基于改进LSTMCNN的多尺寸输入HAR算法.该算法将优化的CNN卷积神经网络和多层双向动态LSTM长短时记忆网络融合对HAR人体行为活动进行识别.包括多尺寸输入,模型分类识别.所述多尺寸输入将数据进行降噪,均值方差归一化,零填充等...
CNNs have also been successfully extended to human activity recognition (HAR) applications, which aim to recognize the intent of human actions or diagnoses for clinical purposes using sEMG collected from the human body. It has been observed in the literature that using visual image training data ...
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Harmeet Kaur is a culture writer for CNN. She covers race, identity and social justice. Kaur is dedicated to telling stories about minority communities with sensitivity and nuance, whether through daily news stories or enterprise reporting. She is also a writer for CNN’s award-winning 5 Thin...