”human-activity-recognition“ 的搜索结果

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Convolutional Neural Network for Human Activity Recognition in Tensorflow

This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based ...

Classifying the physical activities performed by a user based on accelerometer and gyroscope sensor data collected by a smartphone in the user’s pocket. The activities to be classified are: Standing, ...

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

Activity Recognition from 2D pose using an LSTM RNN

Recognizing human activities using Deep Learning

Human Activity Recognition Using Convolutional Neural Network in Keras

Use a LSTM network to predict human activities from sensor signals collected from a smartphone

MATLAB Human Activity Recognition Toolbox

Human Activity Recognition using Channel State Information

Human Activity Recognition based on WiFi Channel State Information

Implementation of Contrastive Self-Supervised Learning for Sensor-based Human Activity Recognition

RF-Net: A Unified Meta-Learning Framework for RF-enabledOne-Shot Human Activity Recognition

Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).

WiFi-based activity recognition dataset

Comparison of frequently used deep learning architectures (LSTM, biLSTM, GRU and CNN) on ten Human Activity Recognition datasets.

TensorFlow implementation of Sensors 2018 paper: Divide and Conquer-based 1D CNN Human Activity Recognition Using Test Data Sharpening

This is the project of "If-ConvTransformer: A Framework for Human Activity Recognition Using IMU Fusion and ConvTransformer"

Activity Recognition in Videos using UCF101 dataset

Deep human action recognition and pose estimation

Activity recognition using Spark, Cassandra and MLlib

Cascaded Human-Object Interaction Recognition (CVPR2020)

Temporal Segments LSTM and Temporal-Inception for Activity Recognition