| Title |
A Study on AI-based External Environment Responsive Light Convergence Living Care Smart Home System Development |
| Authors |
Byong-Moon Yang ; Hong-Seop Min ; Gyeong-Hun Na ; Seong Woo Choi |
| DOI |
http://doi.org/10.5207/JIEIE.2022.36.1.009 |
| Keywords |
AI; CPLC; Date mining; Deep learning; Living care; Smart home |
| Abstract |
There are many problems such as unnecessary electric energy consumption of smart home lighting systems used and commercially available, and biometric rhythm disorders of users due to malfunctions.
To improve this, we would like to research and development a plan implement an AI-based external environment-responsive optical fusion living care smart home system that analyzes and predicts users' lighting usage and spatial patterns according to seasons, days, special days, temperatures, and weather.
Technologies developed through predictive algorithms such as data mining and deep learning techniques greatly contribute to the implementation of zero energy buildings by inhibiting unnecessary light source use as much as possible using external daylight.
The development system provides lighting optimized for the user's condition according to the weather environment, it is possible to maximize convenience and implement a healthy and comfortable living care solution. |