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).

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

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

Description :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).

hyperparametersOptimized.npy - The parameter optimized file.
visualization.py - This is the visualization file.
ANN.py - This is the artificial neural network file.

REFERNCE https://www.kaggle.com/adamlouly/exploratory-data-analysis-on-wisdm https://github.com/bartkowiaktomasz/har-wisdm-lstm-rnns

About

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).


Languages

Language:Python 100.0%