human-activity-recognition

Here are 143 public repositories matching this topic...

PaddlePaddle / PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Updated Oct 10, 2025
Python

smellslikeml / ActionAI

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Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints

classifier raspberry-pi scikit-learn lstm machinelearning human-activity-recognition pose-estimation human-action-recognition tensorflow2 edgetpu jetson-nano

Updated Oct 27, 2024
Python

emadeldeen24 / TS-TCC

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[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

machine-learning deep-learning time-series eeg transfer-learning representation-learning unsupervised-learning human-activity-recognition temporal epilepsy contextual epileptic-seizures fault-diagnosis contrastive-learning sleep-stage-classification

Updated Mar 31, 2024
Python

guillaume-chevalier / HAR-stacked-residual-bidir-LSTMs

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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 different datasets.

tensorflow lstm rnn human-activity-recognition stacked-layers residual-layers residual-lstm-cells bidirectional-lstm-cells

Updated Nov 6, 2022
Python

emadeldeen24 / AdaTime

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[TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

deep-learning time-series pytorch eeg transfer-learning human-activity-recognition domain-adaptation fault-detection unsupervised-domain-adaptation dann homm fault-diagnosis deep-coral sleep-stage-classification cdan dsan

Updated Jun 7, 2023
Python

CV-ZMH / human-action-recognition

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Multi Person Skeleton Based Action Recognition and Tracking

tracking deep-learning human-activity-recognition pose-estimation deepsort action-classifier

Updated Jan 26, 2022
Python

ludlows / CSI-Activity-Recognition

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Human Activity Recognition using Channel State Information

deep-learning tensorflow wifi human-activity-recognition channel-state-information

Updated Jan 4, 2020
Python

AlexanderMelde / SPHAR-Dataset

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Surveillance Perspective Human Action Recognition Dataset: 7759 Videos from 14 Action Classes, aggregated from multiple sources, all cropped spatio-temporally and filmed from a surveillance-camera like position.

machine-learning cctv surveillance-systems artificial-intelligence dataset human-activity-recognition action-recognition video-classification human-action-recognition video-prediction video-dataset cctv-detection

Updated Apr 2, 2025
Python

arturjordao / WearableSensorData

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This repository provides the codes and data used in our paper "Human Activity Recognition Based on Wearable Sensor Data: A Standardization of the State-of-the-Art", where we implement and evaluate several state-of-the-art approaches, ranging from handcrafted-based methods to convolutional neural networks.

benchmark-framework human-activity-recognition sensor-data wearable-devices state-of-the-art

Updated Oct 11, 2019
Python

ani8897 / Human-Activity-Recognition

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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, Sitting, Stairsup, StairsDown, Walking and Cycling.

machine-learning scikit-learn gyroscope accelerometer rnn human-activity-recognition sensor-data keras-neural-networks lstm-neural-networks downsampling-data