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 networ…

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

experiments on classifying actions using poses

Classifying human activities from pose by posenet model

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

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

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.,…

Human Activity Recognition UCI Dataset, final score 0.97196

A Machine Learning approach to predict the activities of person.

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.