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Search results for jupyter notebook human activity recognition

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20 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

K Nearest Neighbors With Dynamic Time Warping ⭐ 540

Python implementation of KNN and DTW classification algorithm

Human Activity Recognition Using Cnn ⭐ 355

Convolutional Neural Network for Human Activity Recognition in Tensorflow

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)

Humanbehaviorbku ⭐ 116

Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

Ssl Wearables ⭐ 45

Self-supervised learning for wearables using the UK-Biobank (>700,000 person-days)

Wifi_csi_based_har ⭐ 40

Human Activity Recognition based on WiFi Channel State Information

Dl For Har ⭐ 37

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')

Human Activity Recognition ⭐ 26

Recognizing human activities using Deep Learning

Har Keras Coreml ⭐ 21

Human Activity Recognition (HAR) with Keras and CoreML

Lstm_har ⭐ 19

LSTM based human activity recognition using smart phone sensor dataset

Har Transformer ⭐ 18

Transformer for Human Activity Recognition

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

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 ⭐ 14

A new and computationally cheap method to perform human activity recognition using PoseNet and LSTM. Where we use PoseNet for Preprocessing and LSTM for understand the sequence.

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).

Robust Deep Learning Pipeline ⭐ 12

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

Contains data preprocessing and visualization methods for ADL datasets.

Lstm For Human Activity Recognition Classification ⭐ 5

Deep convolutional and LSTM feature extraction approach with 784 features.

Crossai Lib ⭐ 5

An open-source library that consists of high-level functionalities capable of developing ML pipelines for Time-Series Analysis regarding Audio, Speech, and finally, Human Activity Recognition.

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