aqibsaeed/Human-Activity-Recognition-using-CNN

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aqibsaeed/Human-Activity-Recognition-using-CNN

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Convolutional Neural Network for Human Activity Recognition in Tensorflow

CNN for Human Activity Recognition

Python notebook for blog post Implementing a CNN for Human Activity Recognition in Tensorflow.

Tools Required

Python 2.7 is used during development and following libraries are required to run the code provided in the notebook:

Tensorflow
Numpy
Matplotlib
Pandas

Dataset

The WISDM Actitracker dataset used for model training, can be downloaded from the following [link]

Related Problem

User identification from walking activity. Accelerometer dataset from 22 indivduals can be downloaded from the following [link]

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Place-Recognition-using-Autoencoders-and-NN

Place recognition with WiFi fingerprints using Autoencoders and Neural Networks

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Genetic-CNN

CNN architecture exploration using Genetic Algorithm

Anomaly-Detection

Anomaly detection algorithm implementation in Python

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Estimation-of-Remaining-Useful-Life-using-CNN

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

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Genetic-Algorithm-RNN

Using Genetic Algorithms to optimize Recurrent Neural Network's Configuration

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On-device-activity-recognition

Personalized machine learning on the smartphone

Entity-Embedding-with-LSTM-for-Time-Series

Entity Embedding with LSTM for Time Series

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Tensorflow-ML

Different machine learning algorithms implementation in Tensorflow

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Research-Paper-Categorization

Research paper classification using machine learning and NLP

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Sensor-Transformer

Transformer Network for Time-Series, Sensor and Wearable Data

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Occupancy detection of an office room from light, temperature, humidity and CO2 measurements

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Mental-Overload-Detection-RVS

Mental Overload Detection with Respiration Variability Spectrogram

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Matlab-ML

Matlab/Octave implementation of various machine learning algorithms

CF-with-DAE-on-Market-Basket-Data

Collaborative Filtering with Denoising Autoencoder on Market Basket Data

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Binary-Early-Exit-Network

Binary Early-Exit Network for Adaptive Inference on Low-Resource Devices

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Elasticsearch-Client

Elasticsearch client in C# for quick experimentation