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.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
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
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
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 ...
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.
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
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 ...
This is a platform containing the datasets and federated learning algorithms in IoT environments.
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.
Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data
Convolutional Neural Network for Human Activity Recognition in Tensorflow
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
Contrastive Learning (SimCLR) for Human Activity Recognition
Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)
Multi Person Skeleton Based Action Recognition and Tracking
This is a platform containing the datasets and federated learning algorithms in IoT environments.
[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
Human Activity Recognition based on WiFi Channel State Information
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
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 ...
Contrastive Learning (SimCLR) for Human Activity Recognition
Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction
Quickly add MediaPipe Pose Estimation and Detection to your iOS app. Enable powerful features in your app powered by the body or hand.
[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)
Multi Person Skeleton Based Action Recognition and Tracking
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Convolutional Neural Network for Human Activity Recognition in Tensorflow
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.
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"
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
[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)
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
Multi Person Skeleton Based Action Recognition and Tracking
Official code for "SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation", AAAI 2024.
Unity's privacy-preserving human-centric synthetic data generator
[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
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
This is a platform containing the datasets and federated learning algorithms in IoT environments.
Contrastive Learning (SimCLR) for Human Activity Recognition
[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors
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 ...
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
Unity's Privacy-Preserving Novel Human Body Model Trained Solely on Synthetic Data and Corresponding Dense Anthropometric Measurements
[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
Improving Human Activity Recognition through Self-training with Unlabeled Data
This is the research repository for Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving 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"
Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints
DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)