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Search results for dataset human activity recognition

human-activity-recognition x

14 search results found

Lstm Human Activity Recognition ⭐ 3,074

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

Human Activity Recognition Using Cnn ⭐ 355

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Har Stacked Residual Bidir Lstms ⭐ 283

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.

Motion Sense ⭐ 189

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

Human Activity Recognition ⭐ 44

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.

3d Cnn Action Recognition ⭐ 41

Implementation of Action Recognition using 3D Convnet on UCF-101 dataset.

Lstm_har ⭐ 19

LSTM based human activity recognition using smart phone sensor dataset

Recognize one of six human activities such as standing, sitting, and walking using a Softmax Classifier trained on mobile phone sensor data.

Human Activity Dih18 ⭐ 15

Human Activity Recognition Using Deep Neural Network

Deep Learning For Human Activity Recognition ⭐ 15

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

Human Activity Recognition ⭐ 13

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).

Har Wisdm Lstm Rnns ⭐ 12

Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks

Metasense_public ⭐ 12

The official PyTorch Implementation of MetaSense (MetaSense: Few-Shot Adaptation to Untrained Conditions in Deep Mobile Sensing, ACM SenSys '19).

Contains data preprocessing and visualization methods for ADL datasets.

Dl_har_public ⭐ 5

Official GitHub page of the workshop paper publication "Increasing Replicability, Comparability and Collaboration in HAR Through a Common Code Base" presented at the 2022 IEEE International Conference on Pervasive Computing and Communications Work (PerCom 22') in Progress Session (WiP).

Human Activity Recognition Smartphone Sensors ⭐ 5

Mini-project based on activity detection dataset at UCIML. Checkout branches for latest push.

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