Trending repositories for topic human-activity-recognition
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
Human Activity Recognition based on WiFi Channel State Information
Multi Person Skeleton Based Action Recognition and Tracking
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
Human Activity Recognition based on WiFi Channel State Information
Multi Person Skeleton Based Action Recognition and Tracking
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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 ...
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
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
Human Activity Recognition based on WiFi Channel State Information
Multi Person Skeleton Based Action Recognition and Tracking
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
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 ...
Human Activity Recognition based on WiFi Channel State Information
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
Multi Person Skeleton Based Action Recognition and Tracking
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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 ...
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
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Human Activity Recognition based on WiFi Channel State Information
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
Multi Person Skeleton Based Action Recognition and Tracking
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
Convolutional Neural Network for Human Activity Recognition in Tensorflow
Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')
[ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
Human Activity Recognition based on WiFi Channel State Information
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 ...
Multi Person Skeleton Based Action Recognition and Tracking
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')
[ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
Convolutional Neural Network for Human Activity Recognition in Tensorflow
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
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
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
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
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 ...
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
Human Activity Recognition based on WiFi Channel State Information
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
Multi Person Skeleton Based Action Recognition and Tracking
Unity's privacy-preserving human-centric synthetic data generator
Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements
This is a platform containing the datasets and federated learning algorithms in IoT environments.
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 differen...
Convolutional Neural Network for Human Activity Recognition in Tensorflow
Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
This is a platform containing the datasets and federated learning algorithms in IoT environments.
Human Activity Recognition based on WiFi Channel State Information
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
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 ...
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Multi Person Skeleton Based Action Recognition and Tracking
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
Contrastive Learning (SimCLR) for Human Activity Recognition
Official GitHub page of the best-paper award publication "Improving Deep Learning for HAR with shallow LSTMs" presented at the International Symposium on Wearable Computers 21' (ISWC 21')
[ECAI 2020] Tensorflow 2.x Implementation of "Human Activity Recognition from Wearable Sensor Data Using Self-Attention"
Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
Official source code for "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" [ECCV2022]
Keras implementation of CNN, DeepConvLSTM, and SDAE and LightGBM for sensor-based Human Activity Recognition (HAR).
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition.