Statistics for topic human-activity-recognition
RepositoryStats tracks 518,986 Github repositories, of these 28 are tagged with the human-activity-recognition topic. The most common primary language for repositories using this topic is Jupyter Notebook (11). Other languages include: Python (11)
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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.
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 ...
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
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
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"
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
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.
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 ...
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
[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 ...
Human Activity Recognition based on WiFi Channel State Information
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 ...
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.
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
Human Activity Recognition based on WiFi Channel State Information