HOME SOCIAL ROBOT SYSTEM FOR RECOGNIZING AND SHARING EVERYDAY ACTIVITY INFORMATION BY ANALYZING VARIOUS SENSOR DATA INCLUDING LIFE NOISE BY USING SYNTHETIC SENSOR AND SITUATION RECOGNIZER

摘要

Disclosed in the present disclosure is a synthetic sensor-based home social robot management system for sharing everyday activity information, wherein the system recognizes people's everyday life activities and takes appropriate measures, without infringing on privacy. In the present disclosure, an acoustic preprocessing technique to divide and process sounds generated in everyday life in an optimal state for acoustic recognition, a technique to effectively remove additive white noise that is ubiquitous in life activities, a technique to extract feature vectors for effectively recognizing life activity sounds in preprocessed signals, a technique to extract kinds of life noise by applying machine learning to the extracted feature vectors, and the like are used. According to the present disclosure, particularly when applied to an environment where the elderly live alone, it is possible to prevent mistakes such as going out without turning off a gas range while cooking food, thereby enhancing safety of the elderly and minimizing an economic loss.