You will get Detecting Activity of Human based on TIme-series data from Mobile sensor


Project details
You will get a datasets for several participants, those data are annotated sensor data from smartphone for example accelerometer and gyroscope, then you will create a machine learning model based on this data, and there are transitional activity, it is really essential to detect those activities which is really less data points from the other activities.
AI Development Type
Deep Learning, Model Tuning, Recommendation SystemAI Tools
Keras, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$10
|
Standard
$12
|
Advanced
$15
|
|---|---|---|---|
| Delivery Time | 7 days | 7 days | 7 days |
AI Model Integration | |||
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | |||
Ontology | - | - | - |
Source Code | |||
Taxonomy | - | - | - |
About Amer
Data Analytics and Graphic Designer
Kassel, Germany - 5:02 am local time
Steps for completing your project
After purchasing the project, send requirements so Amer can start the project.
Delivery time starts when Amer receives requirements from you.
Amer works on your project following the steps below.
Revisions may occur after the delivery date.
Processing data
Building the transformer model for the time series data