This is a repository for ISPL's turnkey project on Behavioral Prediction (인식예측). We use IMU sensor data collected from standalone sensor devices, smartphones, smartwatches and other on-body gadgets to learn a user's behaviour and predict their patterns.
This project is currently under development. README for Korean / 한국어 도움말
Table of Contents
If you want to contribute to this software, be sure to review the contribution guidelines. This project adheres to the code of conduct. By participating, you are expected to uphold this code.
Check Introduction file to read full version. This is summary.
Autonomous Digital Companion is a research project generalized by KETI (Korea Electronics Technnology Institute), supported by the IITP (Institute for Information & Communications Technology Promotion) grant funded by the Ministry of Science and ICT (MSIT, a ministry of the Government of South Korea). This is a fundamental study for designing companions who provide the help you need for daily life. They also help you manage a better life and they respond to you out of sympathy because they understand your thoughts and intentions.
CESLeA is the third detailed project of Autonomous Digital Companion. It is an intelligent interaction technology research and development project that analyzes multi-modal data with AI learning techniques to grasp environment and user's state. It also interprets it with context-aware information including contextual understanding.