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Search results for har activity recognition

activity-recognition x

10 search results found

Motion Sense ⭐ 189

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

Har Cnn Keras ⭐ 75

Human Activity Recognition Using Convolutional Neural Network in Keras

Deep Learning For Sensor Based Human Activity Recognition ⭐ 52

Application of Deep Learning to Human Activity Recognition using accelerometer and gyroscope sensors data

Wifi_csi_based_har ⭐ 40

Human Activity Recognition based on WiFi Channel State Information

Har Convolutional Neural Networks ⭐ 16

CNNs and Stacked denoising autoencoders for human activity recognition using Keras

Human Activity Recogntion ⭐ 14

Human activity recognition, or HAR, is a challenging time series classification task. It involves predicting the movement of a person based on sensor data and traditionally involves deep domain expertise and methods from signal processing to correctly engineer features from the raw data in order to fit a machine learning model.

Implementation code and parameters of the CNN-IMU presented in the Journal "Convolutional Neural Networks for Human Activity Recognition using Body-Worn Sensors"

Human_activity_recognition ⭐ 14

A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.

Human Activity Recognition ⭐ 11

Source code and data sets for online human activity recognition

Continual Learning For Har ⭐ 11

A continual model for human activity recognition (called HAR-GAN). It is based on a technique called `generative replay` which two models (classifier and generator) are trainined in the same time to keep learning a new task but also retrain previously learned knwoledge.

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