girishp92/Human-activity-recognition-using-Recurrent-Neural-Nets-RNN-LSTM-and-Tensorflow-on-Smartphones

This was my Master's project where i was involved using a dataset from Wireless Sensor Data Mining Lab (WISDM) to build a machine learning model to predict basic human activities using a smartphone accelerometer, Using Tensorflow framework, recurrent neural nets and multiple stacks of Long-short-term memory units(LSTM) for building a deep network. After the model was trained, it was saved and exported to an android application and the predictions were made using the model and the interface to speak out the results using text-to-speech API.

Language: Python - Size: 139 MB - Last synced at: about 2 months ago - Pushed at: almost 8 years ago - Stars: 84 - Forks: 37

harshraj11584/Human-Activity-Recognition-0.97-Kaggle

Human Activity Recognition UCI Dataset, final score 0.97196

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ssaqs10/ITS-Project-Sensing-Human-Activities-in-Smart-Homes

The project aims to build an AI system which can detect human activities (e.g., working on computer, walking, eating, sleeping, etc.) in smart homes We will apply advance concepts in machine learning to predict the human activities from accelerometer data. The system will also provide activity suggestions and recommendations for end users (e.g., recommended rest breaks and workstation ergonomics after working for several hours).

Language: Python - Size: 10.1 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 3

leizhang-geo/Global_Urbanization_Impacts_on_Vegetation

This repository contains the code used for the analysis in the paper "Zhang et al. Direct and indirect impacts of urbanization on vegetation growth across the world’s cities" publised in Science Advances

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ehsanik/muscleTorch

What Can You Learn from Your Muscles? Learning Visual Representation from Human Interactions (https://arxiv.org/pdf/2010.08539.pdf)

Language: Python - Size: 6.04 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 34 - Forks: 5

udion/pose2action

experiments on classifying actions using poses

Language: Jupyter Notebook - Size: 179 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 25 - Forks: 13

enjuichang/PSD-lockdown

Calculation of PSD of seismic waves in order to measure the impact of culture noise during the COVID-19 pandemic.

Language: Python - Size: 114 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

Ankit152/Human-Activity-Recognition

A Machine Learning approach to predict the activities of person.

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mano3-1/Human-Activity-Recognition

Classifying human activities from pose by posenet model

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sagoez/human-activity-recognition

The realization of this project seeks to be a contribution to the state of the art in energy harvesting, providing information on the performance of an online activity classifier based on energy generation patterns.

Language: Python - Size: 60.5 KB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

MrKhan0747/Human-Activity-Classification

Language: Jupyter Notebook - Size: 196 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0